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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Unity Information Systems - **Location:** Bristol, UK (Remote available) - **Experience:** Expert - **Salary:** £76,000.0 - £79,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Airflow, Amazon Web Services, Data Analysis, Automation of Tests, Unit Testing, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Database, Software Documentation, Code Review, Computer Programming, Continuous Integration, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Dataspaces, Distributed Computing Environment, Fault Tolerance, Github, Python (Programming Language), DataOps, Software Engineering, SQL Databases, Data Streaming, Workflow Management Systems, Enterprise Data Management, Software Organization, Data Processing, Snowflake, Data Build Tool (dbt), Apache Spark, Git, Pyspark, Information Technology, Data Lineage, Data Analytics, Google Bigquery, Apache Kafka, Spark Streaming, Data Management, Terraform, Data Pipelines, Amazon Redshift, Databricks - **Published:** August 28, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=71d963d78ecb2926 ## About the Role * 5+ years of commercial experience as a Data Engineer, Analytics Engineer, or Big Data Engineer delivering production-grade data pipelines. * Expert-level proficiency in SQL and advanced data modeling strategies for modern cloud data platforms (Snowflake, Databricks, BigQuery, or AWS Redshift). * Strong programming skills in Python or Scala for complex data processing. * Proven track record with dbt (data build tool) for data transformation and modeling. * Hands-on experience with workflow orchestration platforms (Apache Airflow, Astronomer, or Prefect). * Proficiency in public cloud data ecosystems (AWS, Microsoft Azure, or GCP). * Solid background in software development best practices: Git version control, unit testing, CI/CD, and peer code reviews. Desirable * Active Professional Certifications: Databricks Certified Data Engineer Professional, Snowflake Certified Advanced, or AWS Certified Data Analytics. * Experience with real-time streaming engines (Apache Kafka, AWS Kinesis, or Spark Streaming). * Understanding of Infrastructure as Code (IaC) using Terraform. * Degree in Computer Science, Data Science, Software Engineering, Mathematics, or a related quantitative field. ## Description Working closely with Analytics Engineers, Data Scientists, Cloud Architects, and Product Leads, you will ensure high-throughput data integration, maintain data governance standards, and empower enterprise business intelligence across our client operations. This position balances hands-on pipeline engineering with architectural governance and mentorship., * Data Pipeline & ETL/ELT Engineering: Design, build, and maintain fault-tolerant batch and streaming data pipelines using modern orchestration tools (Apache Airflow, Prefect, or Dagster). * Enterprise Data Warehousing: Architect and optimize scalable data modeling schemas (Kimball methodology, star/snowflake schemas) across cloud data warehouses such as Snowflake, Databricks, or Google BigQuery. * Data Quality, Observability & Governance: Implement automated testing, validation frameworks (dbt, Great Expectations), and data lineage tracking to guarantee data integrity, security, and compliance with UK GDPR and ISO 27001 standards. * Distributed Processing & Integration: Write efficient code to process large-scale structured and unstructured datasets using Apache Spark (PySpark/Scala), SQL, and Python. * DataOps & CI/CD Collaboration: Integrate data workflows into automated CI/CD pipelines (GitHub Actions, Azure DevOps) leveraging Infrastructure as Code (Terraform) for reproducible environments. * Technical Leadership & Mentorship: Establish best practice guidelines for software engineering in data, maintain system documentation, and mentor mid-level and junior data engineers. ## 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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)