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# Senior Data Engineer

- **Company:** Artefact
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Retrieval, Data Systems, Data Warehousing, DevOps, Distributed Computing Environment, Python (Programming Language), Data Mesh, SQL Databases, Azure Data Factory, Snowflake, Data Lakes, Information Technology, AWS Glue, Data Pipelines, Devsecops, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-data-engineer/52864448

## About the Role

deliverables.Develop and enforce best practices in data governance, security, and compliance within the data retrieval and develop dashboards and reports for business teams.Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field.3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.Demonstrated experience with Infrastructure as Code tooling such as TerraformSolid understanding of CI/CD principles and DevOps/DevSecOps practices.Proven leadership skills and experience managing data engineering teams.Excellent problem-solving skills and the ability to work with ambiguity.Proficient in leveraging AI-assisted workflows to optimise task
efficiency.Strong communication and interpersonal skills.Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.Preferred Qualifications:Certifications in Azure, AWS, or GCP.Certifications in Databricks, Snowflake or similar technologies.Experience in the leading large scale data engineering projects.Working ConditionsHybrid work arrangement: two-three days per week working from the office

## Description

dedicated to bringing extra value to every client.Job SummaryWe are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. Key ResponsibilitiesDesign, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project