Job Openings at Kuda

Role Overview

• We are looking for a Data Architect to oversee the design, governance, and optimisation of our organisation’s data architecture. This role will blend strategic vision with practical expertise in modern data engineering.
• The goal is to ensure that our data ecosystem supports advanced analytics, artificial intelligence, and real-time decision-making, all while adhering to industry best practices, such as the principles outlined in DAMA-DMBOK.

Roles and responsibilities

• Define and maintain the enterprise data architecture blueprint aligned with business strategy, DAMA-DMBOK principles, and modern data platform best practices.
• Collaborate with enterprise architects to ensure data architecture is fully integrated into the overall IT and business architecture.
• Lead the adoption of data modelling standards (conceptual, logical, and physical), including dimensional modelling and data vault methodologies.
• Oversee Master Data Management (MDM) strategy, implementation, and governance across domains such as Customer, Product, and financial data.
• Ensure architectural compliance with data governance policies, security frameworks, and regulatory requirements (GDPR, NDPR, ISO 27001).
• Design scalable, secure, and high-performance data solutions across multi-cloud and hybrid environments (Azure SQL, Google BigQuery, on-prem SQL Server).
• Define integration patterns for batch and streaming data ingestion using tools such as Airbyte, Azure Data Factory, and FiveTran.
• Oversee transformation layer design using Dataform and dbt. Cloud, ensuring version control, testing, and deployment best practices.
• Recommend and implement data storage strategies, including Medallion Architecture, Data Mesh, and Lakehouse patterns.
• Collaborate with infrastructure teams to provision infrastructure-as-code (Terraform or Pulumi) for data workloads.
• Partner with Data Governance teams to establish and enforce metadata management, data lineage, and business glossary standards.
• Define data quality frameworks and embed automated validation and anomaly detection in ingestion and transformation pipelines.
• Champion data stewardship practices across the business.
• Act as the primary authority on data architecture, advising C-level executives, engineering teams, and business stakeholders.
• Mentor senior data engineers, analysts, and modellers on best practices in architecture, modelling, and governance.
• Facilitate cross-functional workshops to align business requirements with architectural design.
• Stay ahead of industry trends, recommending emerging tools and patterns for modern data platforms.
• Continuously optimise cost, performance, and scalability of data platforms.
• Lead proof-of-concept initiatives for innovative data solutions, including AI- driven data management tools.

Requirements

• 10+ years in data-focused roles, with 3+ years in data architecture or enterprise architecture positions.
• A Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field is required.
• DAMA-DMBOK knowledge required; CDMP (Certified Data Management Professional) or equivalent certification preferred.
• TOGAF, Zachman, or Certified Enterprise Architect certification is an advantage.
• Advanced expertise in data modelling (conceptual, logical, physical) and MDM frameworks.
• Strong SQL skills with proven experience in Azure SQL, Google BigQuery, and Microsoft SQL Server.

Hands-on experience with:

• Ingestion: Airbyte, Azure Data Factory, Fivetran
• Transformation: Dataform, dbt Cloud
• Processing: Apache Beam/Dataflow, Spark
• Streaming: Kafka, Pub/Sub, Spark Streaming, or Flink
• Strong knowledge of modern data architectures (Medallion, Data Mesh, Lakehouse).
• Familiarity with orchestration tools (Airflow, Cloud Composer, Workflows).
• Proficiency in infrastructure-as-code (Terraform, Pulumi).
• Understanding of data security and compliance best practices.

Preferred Skills

• Experience in cloud cost optimisation for data workloads.
• Familiarity with data catalogue tools such as Collibra, Alation, or Data Catalogue.
• Experience in BI integration (Looker, Power BI, Data Studio).
• Exposure to machine learning data pipelines (Vertex AI, MLflow).

Data Stack

• Databases: Microsoft SQL Server, Azure SQL, Google BigQuery
• ngestion: Airbyte, Fivetran, Azure Data Factory
• Processing & Modelling: Dataform, dbt Cloud, Apache Beam/Dataflow, Spark
• Visualisation: Looker, Data Studio
• Cloud: Azure, Google Cloud Platform
• Orchestration: Airflow, Cloud Composer, Workflows
• IaC: Terraform, Pulumi

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Role Overview

• We are expanding and seeking a Data Engineer to join our ranks and champion growth. With a passion for data-driven decision-making, you will play a pivotal role in shaping the future of banking for millions.

Roles and responsibilities

• Design, build, and maintain scalable data ingestion and processing pipelines that support analytics, machine learning, and operational use cases.
• Integrate and transform data from diverse structured and unstructured sources into trusted, high-quality datasets.
• Collaborate with business stakeholders to translate analytical and operational needs into efficient data models and pipelines.
• Monitor and optimise data pipeline performance, ensuring reliability, observability, and cost efficiency.
• Support data quality, lineage, and metadata management through governance-aligned frameworks and automation.
• Enable prescriptive and predictive analytics by preparing and curating datasets for machine learning models.
• Partner with data scientists and ML engineers to deploy and operationalise ML models into production pipelines.
• Continuously evaluate and implement modern tools and frameworks to improve data acquisition, orchestration, and delivery.
• Develop analytical datasets, metrics layers, and transformations that power dashboards, self-service analytics, and advanced insights.
• Collaborate closely with data architects, platform engineers, and business teams to ensure alignment between data strategy, architecture, and delivery.

Requirements

• 3–5 years of hands-on experience as a Data Engineer or in a similar data-focused engineering role.
• Strong proficiency in SQL, including advanced query design, optimisation, and performance tuning.
• Proven experience working with relational databases such as Microsoft SQL Server, Azure SQL Database / Managed Instance, or PostgreSQL.
• Demonstrated ability to integrate, transform, and consolidate data from heterogeneous sources (e.g., Azure SQL, SQL Managed Instances, or BigQuery) into analytics-ready datasets on Google Cloud Platform (GCP) using BigQuery and visualised through Looker or similar BI tools.
• Exposure to ETL/ELT frameworks such as SQL Server Integration Services (SSIS), dbt Cloud, or Dataform.
• Skilled in the design, implementation, monitoring, and optimisation of modern data platforms and pipelines to support analytical and operational workloads.
• Experience with Azure Data Factory (ADF) or similar orchestration tools is a strong advantage.
• Familiarity with one or more programming languages such as Python, Java, Scala, R, or C# (Python preferred).
• Experience applying modern software engineering practices, including version control, CI/CD, and Agile methodologies.
• Strong computational and analytical thinking skills, with the ability to design efficient and scalable data solutions.
• Bachelor’s degree in computer science, Engineering, or related technical discipline or equivalent practical experience in data engineering.
• Data Stack: Azure Microsoft SQL Server (MI), Fivetran, Airbyte, Google Big Query, Google Cloud Platform (GCP), Dbt Cloud, DataForm (GCP), Looker.

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Role Overview

• As the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also supporting various other business functions by providing data-driven insights and predictive capabilities.
• You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production in a way that supports live, real-time decisions, enhancing Kuda's ability to serve customers with speed and precision.
• Your role will require collaboration across multiple cross-functional teams, including product, business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science.
• Key to your success will be your ability to translate business challenges into data-driven solutions while balancing technical execution with strategic vision. Your leadership will help scale Kuda’s impact, bringing high-quality, machine learning-based credit solutions to millions of customers across Nigeria and beyond.

Key Responsibilities

• Team Leadership: Manage and mentor a team of data scientists, fostering a collaborative and innovative environment.
• Model Development: Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and collections.
• Cross-Functional Collaboration: Work closely with product, engineering, and compliance teams to integrate models into production systems.
• Data Analysis: Analyze large, complex datasets to extract actionable insights and inform business strategies.
• Model Monitoring: Oversee the performance of deployed models, ensuring they meet business objectives and regulatory standards.
• Stakeholder Communication: Present findings and recommendations to senior leadership and other stakeholders.
• Continuous Improvement: Stay abreast of industry trends and emerging technologies to continuously enhance model performance and team capabilities.

Requirements

• Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Experience: Minimum of 6 years in data science, with at least 2 years in a leadership role managing teams and projects.
• Technical Skills: Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of cloud environments and services (AWS, Google Cloud).
• Domain Knowledge: Experience in credit risk modeling, fraud detection, or financial services is highly desirable.
• Leadership: Strong ability to lead teams, manage projects, and communicate effectively with both technical and non-technical stakeholders.
• Regulatory Awareness: Understanding of financial regulations and compliance standards, particularly in the Nigerian context.

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Role Overview

• The Head of Product, Credit will lead Kuda’s Credit tribe, driving the strategy, execution, and continuous improvement of all lending-related products and initiatives.
• This role focuses on building reliable, scalable, and compliant credit solutions that deliver measurable business impact and exceptional customer experiences.
• You’ll own the tribe’s roadmap, delivery, and performance, ensuring decisions are data-driven and aligned with Kuda’s broader strategic and financial goals.
• You’ll also play a key role in building and developing a strong product team, fostering collaboration and accountability across stakeholders.

Responsibilities

Delivery & Execution

• Lead tribe planning and QBRs, ensuring alignment, clarity, and dependency management.
• Champion thin-slice, iterative delivery focused on measurable outcomes.
• Provide consistent visibility to leadership through metrics, progress updates, and proactive risk management.

Data & Experimentation

• Promote a culture of data-driven decision-making, establishing strong experimentation and measurement practices.
• Ensure squads have the insights, analytics, and tools needed for effective prioritisation.

Product Quality, Risk & Compliance

• Ensure all products meet regulatory, compliance, and security requirements.
• Embed standards for reliability, performance, accessibility, and localisation into delivery practices.

People Leadership & Organisation Building

• Hire, coach, and develop Product Managers across multiple levels.
• Foster a culture of clarity, focus, and ownership of outcomes.
• Define and uphold high standards for product discovery, delivery, and communication craft.

Day-to-Day Collaboration

• With BLO: Align product strategy with business objectives and financial targets.
• With DM/TLs: Manage capacity, technical debt, and sustainable delivery practices.
• With Other Tribe Leads: Coordinate dependencies and shared initiatives.
• With Compliance, Legal, Marketing, and CX: Ensure alignment across customer, regulatory, and commercial goals.

Requirements

• 5+ years of Product Management experience, including 2+ years leading teams or product portfolios.
• Proven track record of delivering measurable business outcomes.
• Strong fluency in experimentation, analytics, and data-driven prioritisation.
• Excellent stakeholder management and leadership skills.
• Experience mentoring and scaling Product Managers with a player-coach mindset.

Nice to Have

• Background in financial services, payments, lending, or infrastructure.
• Familiarity with compliance frameworks and regulatory environments.
• Experience working with growth or data platforms.

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Role Overview

• The Head of Product, Platform will lead the Platform tribe at Kuda, overseeing Core Banking, Payments & Cards, and Internal Tooling.
• This tribe powers the reliability, scalability, and compliance of Kuda’s infrastructure — enabling all product tribes to deliver customer-facing innovation.
• You will own the tribe’s strategy, roadmap, and delivery, ensuring that platform investments translate into measurable business efficiency, regulatory readiness, and improved delivery velocity across the organisation.

Key Responsibilities

Strategy & Roadmap

• Define and own the Platform tribe strategy and roadmap, integrating business goals, regulatory needs, and market dynamics.
• Prioritise investments that improve system reliability, cost efficiency, and scalability while enabling new business opportunities.
• Set and communicate SMART goals (OKRs) to align teams and stakeholders.

Delivery & Execution

• Lead tribe planning and QBRs, managing alignment and dependencies across tribes.
• Champion thin-slice, iterative delivery with measurable impact.
• Provide proactive visibility to leadership and stakeholders on roadmap progress, risks, and key decisions.

Reliability, Scalability & Compliance

• Establish standards for system reliability, uptime, and performance, tracking SLA targets.
• Ensure compliance with card scheme rules, payment regulations, and data protection requirements.
• Drive automation and tooling that reduce operational friction and enhance efficiency.

Analytics & Financial Impact

• Use financial analytics to optimise ROI, cost-to-serve, and scalability.
• Analyse vendor costs, transaction volumes, reconciliation gaps, and efficiency gains to inform priorities.
• Apply cohort analysis to identify internal adoption trends and guide smarter platform investment.

People Leadership & Influence

• Hire, coach, and develop Product Managers with strong infrastructure and financial services instincts.
• Influence stakeholders by simplifying complex technical concepts into clear business narratives.
• Foster an inclusive, collaborative culture where teams feel empowered to contribute and own outcomes.

Change Leadership

• Lead structural enhancements to Kuda’s infrastructure that benefit multiple business areas.
• Oversee transformation initiatives in core processes (ledger, payments, tooling) to increase efficiency.
• Act as a role model for learning, continuous improvement, and accountability.

Day-to-Day Collaboration

• With BLO (Platform): align on efficiency, uptime, and cost-reduction objectives.
• With DM/TLs: plan capacity, define SLAs, and deliver roadmap initiatives.
• With Other Tribes: manage dependencies for payment flows, ledger, and tooling access.
• With Risk, Compliance, Legal, Finance: ensure audit readiness, reconciliation integrity, and regulatory compliance.
• With Vendors: manage partnerships, SLAs, and integrations with card schemes, processors, and banking providers.

Requirements

• 7+ years in Product Management, with 4+ years leading payments, cards, or core banking infrastructure products.
• Proven track record in building reliable, compliant financial platforms.
• Strong knowledge of local payment rails, card schemes, and core banking systems.
• Experience managing vendors and partners at scale.
• Data-driven decision-maker with financial modelling and ROI analysis experience.
• Excellent communication and influencing skills, able to simplify complex concepts.
• Experienced in mentoring Product Managers and building high-performing teams.

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• We’re now looking for a Product and Lifecycle Marketing Lead to own how we communicate product value to customers. Reporting into our VP Marketing, you’ll shape go-to-market strategy for new features, lead lifecycle (CRM) marketing to drive activation and retention, and manage a growing team that brings our product story to life.

Responsibilities

• Lead the go-to-market (GTM) strategy for all new product launches, ensuring clear positioning, messaging, and multi-channel campaigns
• Own the lifecycle marketing strategy (email, push, in-app), mapping user journeys and defining experimentation strategies to drive activation, feature adoption, retention, and reactivation
• Lead and mentor a team of four people with scope to grow, covering product marketing and CRM execution, setting clear goals and creating development opportunities
• Collaborate with Product, Performance Marketing, Brand & Comms, and Customer Experience to ensure customers are at the heart of all GTM and lifecycle plans
• Conduct and oversee market research, customer interviews, and competitor analysis to uncover insights and shape messaging
• Translate product features into customer value, creating compelling communications across all touchpoints
• Manage tooling (e.g. Iterable) and processes to ensure lifecycle campaigns are data-driven, measurable and optimised
• Partner with Product and BI & Analytics teams to surface behavioural events and user attributes in the CRM platform - enabling timely, personalized communications, and robust segmentation
• Define and report on KPIs such as activation, retention, churn reduction, NPS, and feature adoption
• Act as the voice of the customer in leadership discussions, ensuring product and marketing strategies align with customer needs

Requirements

• 7+ years of experience in product marketing, lifecycle marketing or related roles, with proven success in driving adoption and retention
• Strong track record of planning and executing GTM strategies for digital products
• Hands-on experience with lifecycle marketing tools (Iterable or similar) and an understanding of marketing automation
• Exceptional storytelling skills: able to translate product features into customer benefit with clarity and creativit
• Analytical and data-driven with the ability to design experiments, interpret results, and iterate
• Experienced leader, able to manage, coach, and grow a team
• Strong collaboration skills: able to build consensus across Product, Brand, Comms and Growth
• Fintech or app-first consumer tech experience in African markets is an advantage

go to method of application »

• We’re now looking for a Product and Lifecycle Marketing Lead to own how we communicate product value to customers. Reporting into our VP Marketing, you’ll shape go-to-market strategy for new features, lead lifecycle (CRM) marketing to drive activation and retention, and manage a growing team that brings our product story to life.

Responsibilities

• Lead the go-to-market (GTM) strategy for all new product launches, ensuring clear positioning, messaging, and multi-channel campaigns
• Own the lifecycle marketing strategy (email, push, in-app), mapping user journeys and defining experimentation strategies to drive activation, feature adoption, retention, and reactivation
• Lead and mentor a team of four people with scope to grow, covering product marketing and CRM execution, setting clear goals and creating development opportunities
• Collaborate with Product, Performance Marketing, Brand & Comms, and Customer Experience to ensure customers are at the heart of all GTM and lifecycle plans
• Conduct and oversee market research, customer interviews, and competitor analysis to uncover insights and shape messaging
• Translate product features into customer value, creating compelling communications across all touchpoints
• Manage tooling (e.g. Iterable) and processes to ensure lifecycle campaigns are data-driven, measurable and optimised
• Partner with Product and BI & Analytics teams to surface behavioural events and user attributes in the CRM platform - enabling timely, personalized communications, and robust segmentation
• Define and report on KPIs such as activation, retention, churn reduction, NPS, and feature adoption
• Act as the voice of the customer in leadership discussions, ensuring product and marketing strategies align with customer needs

Requirements

• 7+ years of experience in product marketing, lifecycle marketing or related roles, with proven success in driving adoption and retention
• Strong track record of planning and executing GTM strategies for digital products
• Hands-on experience with lifecycle marketing tools (Iterable or similar) and an understanding of marketing automation
• Exceptional storytelling skills: able to translate product features into customer benefit with clarity and creativit
• Analytical and data-driven with the ability to design experiments, interpret results, and iterate
• Experienced leader, able to manage, coach, and grow a team
• Strong collaboration skills: able to build consensus across Product, Brand, Comms and Growth
• Fintech or app-first consumer tech experience in African markets is an advantage

go to method of application »

• We’re now looking for a Product and Lifecycle Marketing Lead to own how we communicate product value to customers. Reporting into our VP Marketing, you’ll shape go-to-market strategy for new features, lead lifecycle (CRM) marketing to drive activation and retention, and manage a growing team that brings our product story to life.

Responsibilities

• Lead the go-to-market (GTM) strategy for all new product launches, ensuring clear positioning, messaging, and multi-channel campaigns
• Own the lifecycle marketing strategy (email, push, in-app), mapping user journeys and defining experimentation strategies to drive activation, feature adoption, retention, and reactivation
• Lead and mentor a team of four people with scope to grow, covering product marketing and CRM execution, setting clear goals and creating development opportunities
• Collaborate with Product, Performance Marketing, Brand & Comms, and Customer Experience to ensure customers are at the heart of all GTM and lifecycle plans
• Conduct and oversee market research, customer interviews, and competitor analysis to uncover insights and shape messaging
• Translate product features into customer value, creating compelling communications across all touchpoints
• Manage tooling (e.g. Iterable) and processes to ensure lifecycle campaigns are data-driven, measurable and optimised
• Partner with Product and BI & Analytics teams to surface behavioural events and user attributes in the CRM platform - enabling timely, personalized communications, and robust segmentation
• Define and report on KPIs such as activation, retention, churn reduction, NPS, and feature adoption
• Act as the voice of the customer in leadership discussions, ensuring product and marketing strategies align with customer needs

Requirements

• 7+ years of experience in product marketing, lifecycle marketing or related roles, with proven success in driving adoption and retention
• Strong track record of planning and executing GTM strategies for digital products
• Hands-on experience with lifecycle marketing tools (Iterable or similar) and an understanding of marketing automation
• Exceptional storytelling skills: able to translate product features into customer benefit with clarity and creativit
• Analytical and data-driven with the ability to design experiments, interpret results, and iterate
• Experienced leader, able to manage, coach, and grow a team
• Strong collaboration skills: able to build consensus across Product, Brand, Comms and Growth
• Fintech or app-first consumer tech experience in African markets is an advantage

go to method of application »

• We’re now looking for a Product and Lifecycle Marketing Lead to own how we communicate product value to customers. Reporting into our VP Marketing, you’ll shape go-to-market strategy for new features, lead lifecycle (CRM) marketing to drive activation and retention, and manage a growing team that brings our product story to life.

Responsibilities

• Lead the go-to-market (GTM) strategy for all new product launches, ensuring clear positioning, messaging, and multi-channel campaigns
• Own the lifecycle marketing strategy (email, push, in-app), mapping user journeys and defining experimentation strategies to drive activation, feature adoption, retention, and reactivation
• Lead and mentor a team of four people with scope to grow, covering product marketing and CRM execution, setting clear goals and creating development opportunities
• Collaborate with Product, Performance Marketing, Brand & Comms, and Customer Experience to ensure customers are at the heart of all GTM and lifecycle plans
• Conduct and oversee market research, customer interviews, and competitor analysis to uncover insights and shape messaging
• Translate product features into customer value, creating compelling communications across all touchpoints
• Manage tooling (e.g. Iterable) and processes to ensure lifecycle campaigns are data-driven, measurable and optimised
• Partner with Product and BI & Analytics teams to surface behavioural events and user attributes in the CRM platform - enabling timely, personalized communications, and robust segmentation
• Define and report on KPIs such as activation, retention, churn reduction, NPS, and feature adoption
• Act as the voice of the customer in leadership discussions, ensuring product and marketing strategies align with customer needs

Requirements

• 7+ years of experience in product marketing, lifecycle marketing or related roles, with proven success in driving adoption and retention
• Strong track record of planning and executing GTM strategies for digital products
• Hands-on experience with lifecycle marketing tools (Iterable or similar) and an understanding of marketing automation
• Exceptional storytelling skills: able to translate product features into customer benefit with clarity and creativit
• Analytical and data-driven with the ability to design experiments, interpret results, and iterate
• Experienced leader, able to manage, coach, and grow a team
• Strong collaboration skills: able to build consensus across Product, Brand, Comms and Growth
• Fintech or app-first consumer tech experience in African markets is an advantage

go to method of application »

Role Overview

• Kuda is looking for a highly skilled and motivated Senior Data Analyst to join our growing BI & Analytics team. We are looking for someone who can work with large datasets, leverage their expertise in data analysis and deliver actionable insights across various business functions.
• You will play a critical role in helping to shape data-driven decisions around attribution optimisation, product performance, experimentation and user engagement. 

Roles and responsibilities

• Develop, own and champion how we leverage data from our tech stack. 
• Analyze, and where required build, datasets that enable better understanding of company KPIs, marketing performance and user engagement.
• Design, develop, and maintain dashboards and reports using tools like Looker.
• Conduct in-depth analyses to improve customer acquisition, engagement, retention, referral, segmentation and revenue across multiple channels. Understand trends, correlations and identify opportunities to move these key user growth metrics. 
• Perform exploratory data analysis (EDA) and statistical modeling to support strategic initiatives.
• Ensure the accuracy and relevance of key performance indicators (KPIs) across different functions. 
• Design and analyze experiments to improve user acquisition, product adoption, and spend efficiency of marketing campaigns.
• Be comfortable with cross-functional collaboration and delivery. 
• Present findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• 5+ years of working experience as a data analyst.
• Proven track record of delivering actionable insights that impact business outcomes.
• Strong understanding of mobile app technologies and attribution.
• Advanced proficiency in SQL.
• Have development experience with Business Intelligence/ visualization tools (ie. Looker)
• Possess strong knowledge of mobile app growth metrics (LTV, CR%, Churn)
• Understanding of versioning control (ie. Git, BitBucket or other similar technologies)
• Experience with data modeling (ie. dbt)
• Proven leadership skills with the ability to mentor junior team members.

Nice to have:

• Experience in the Fintech, financial services or the gaming industry
• Experience in modeling techniques and application within organisations
• Knowledge of African markets
• Understanding of SKAdNetwork
• Bachelor's degree in CS, Statistics, Business, Mathematics, Economics, or related field

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Role Overview

• We are expanding our reach and seeking a visionary Senior Data Engineer to spearhead our data engineering efforts, driving innovation and growth. With a passion for data-driven decision-making, you will play a pivotal role in shaping the future of banking for millions.

Roles and responsibilities

• Design, develop, and optimise large-scale data ingestion, transformation, and processing pipelines for structured, semi-structured, and unstructured data.
• Lead the integration of multi-cloud and hybrid data platforms (e.g., Azure SQL, Google BigQuery, on-premises SQL Server).
• Define and enforce data architecture standards to ensure scalability, security, and optimal performance.
• Leverage Dataform to manage SQL-based transformations, version control, testing, and deployment of analytics datasets in BigQuery.
• Introduce and manage real-time streaming solutions (e.g., Kafka, Pub/Sub, or Dataflow) in conjunction with batch data pipelines.

Data Quality & Governance

• Establish data quality frameworks with automated validation, anomaly detection, and reconciliation checks.
• Collaborate with Data Governance teams to maintain data catalogues metadata management, and lineage tracking.
• Implement security, privacy, and compliance standards (such as GDPR, NDPR, and ISO 27001) within data pipelines.
• Mentor junior and mid-level data engineers, providing technical guidance and career development support.
• Partner with Data Science and BI teams to deliver data products for predictive modelling, experimentation, and self-service analytics.
• Act as a subject matter expert in cross-functional projects, advising on technical trade-offs and best practices.
• Research and adopt emerging data engineering technologies and methodologies.
• Drive automation in data workflows to reduce manual intervention and operational risk.
• Optimise data storage and compute costs through partitioning, clustering, and workload management.

Requirements

• 7+ years of experience in data engineering, with a proven track record of leading teams.
• Expert-level SQL skills, including advanced query optimisation and performance tuning.

Proven experience with:

• Microsoft SQL Server / Azure SQL DB / Azure Managed Instance
• Google BigQuery & Google Cloud Platform
• Dbt. Cloud or Dataform for data modelling, testing, and deployment
• Data ingestion tools (e.g., Airbyte, Azure Data Factory and Fivetran)
• Strong programming skills in Python (preferred) and at least one additional language (Java, Scala, or Go).
• Experience with streaming architectures (Kafka, Pub/Sub, Spark Streaming, or Flink).
• Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or Deployment Manager).
• Strong understanding of modern data architectures (Medallion, Data Mesh Lakehouse).
• Hands-on experience with CI/CD for data and containerization (Docker, Kubernetes).
• Proficient in Agile delivery methodologies.

Preferred:

• Knowledge of machine learning pipelines (Vertex AI, MLflow, or SageMaker).
• Prior experience working in FinTech or other regulated industries.
• Exposure to Looker or similar BI tools.