> Markdown version of [/jobs/ext/1342166-data-engineer](https://www.wearedevelopers.com/jobs/ext/1342166-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Eeze - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Airflow, BigQuery, Computer Programming, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Distributed Systems, Fault Tolerance, Python (Programming Language), SQL Databases, Data Streaming, Systems Integration, Workflow Management Systems, Data Processing, Snowflake, Data Layers, Infrastructure Automation Frameworks, Apache Kafka, Api Design, Stream Processing, Data Inconsistencies, Data Pipelines - **Published:** July 19, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=b134ab7595fd67b0 ## About the Role * 3-7+ years experience in data engineering, backend engineering, or similar roles * Strong programming skills (e.g. Python, SQL) * Solid understanding of ETL/ELT processes and data pipeline design * Experience working with APIs and integrating distributed systems * Experience handling transactional or event-based data * Strong understanding of: + Data transformation techniques + Data warehousing concepts + Data modelling fundamentals * Experience with data orchestration and workflow tools * Ability to build robust, fault-tolerant systems * Strong problem-solving skills with attention to detail and data accuracy Nice to Have * Experience in iGaming, fintech, or high-volume transactional environments * Experience with event streaming technologies (e.g. Kafka) * Familiarity with modern data stack tools (e.g. Snowflake, BigQuery, dbt, Airflow) * Experience with real-time or near real-time data processing * Understanding of idempotent processing and event ordering * Exposure to CI/CD and infrastructure-as-code practices * Experience supporting analytics or BI teams Success Metrics * Reliability and uptime of data pipelines * Data freshness and latency * Reduction in data errors and inconsistencies * Performance and scalability of data processing * Availability of high-quality, curated datasets for analysts ## Description The Data Engineer is responsible for building and maintaining scalable, reliable, and high-quality data pipelines and infrastructure that power data products and analytics across the organisation. The role focuses on ensuring data is accurate, timely, and consistently processed, particularly in environments involving high-volume transactional and API-driven systems., 1. Data Pipeline Development * Design, build, and maintain ETL/ELT pipelines * Ingest data from internal systems and external APIs * Develop scalable data processing workflows (batch and/or real-time) * Ensure pipelines are reusable, efficient, and maintainable 2. Data Integration * Integrate data from various sources, including transactional flows * Handle complex data scenarios such as: + Event sequencing (e.g. bet resolve) + Idempotency and duplicate handling + Partial or delayed data * Ensure consistency between source systems and analytical datasets 3. Data Transformation & Modelling Support * Implement transformation logic aligned with architectural data models * Build and maintain structured data layers for analytics consumption * Collaborate closely with the Data Architect on model implementation 4. Data Quality, Monitoring & Reliability * Implement data validation, monitoring, and alerting mechanisms * Identify and resolve data inconsistencies or failures * Ensure high levels of data accuracy and availability 5. Performance & Scalability * Optimise pipelines for performance and cost-efficiency * Support scaling of data infrastructure as volumes grow * Ensure low-latency data availability where required 6. Collaboration * Work closely with Data Architect, Analysts, and Manager * Support Analysts by ensuring availability of curated datasets * Contribute to continuous improvement of data platform capabilities ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)