> Markdown version of [/jobs/ext/4612392-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/4612392-senior-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). --- # Senior Data Engineer - **Company:** We Are Dcoded Limited - **Location:** London, UK - **Experience:** Expert - **Salary:** £60,000 - £75,000 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Systems, DevOps, Distributed Computing Environment, Python (Programming Language), Data Mesh, Standard Sql, SQL Databases, Azure Data Factory, Snowflake, Git, Pyspark, AWS Glue, Terraform, Data Pipelines, Devsecops, Databricks - **Published:** November 7, 2026 - **Apply:** https://www.totaljobs.com/job/senior-data-engineer/we-are-dcoded-limited-job108298752 ## About the Role * 3 to 7 years in data engineering, with real ownership of production pipelines * Strong SQL and Python, plus hands-on Git * Production experience with at least one of Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow or PySpark * Cloud-native orchestration and distributed data processing * Infrastructure as code (e.g. Terraform) * CI/CD and DevOps or DevSecOps practice * A sound grasp of data architecture: data mesh, lake, warehouse and lakehouse * Clear communication, with the ability to explain technical decisions to non-technical stakeholders Nice to have * Azure, AWS or GCP certifications * Databricks, Snowflake or similar certifications * Experience leading large-scale data engineering projects ## Description * Design, build and maintain scalable data pipelines using SQL and Python * Lead the integration of complex data systems, keeping data consistent and accurate across platforms * Implement CI/CD for data pipelines * Work with architects, analysts and stakeholders to turn business requirements into technical delivery * Mentor and manage a team of data engineers * Set and enforce best practice on data governance, security and compliance