Data Engineer
UK Visa Sponsorship Analytics
Occupation Type
Telecoms and related network installers and repairers
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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Description
Job Description
Job Title: Senior Data Engineer
Location: UK (Hybrid, 2–3 days per week in-office)
Rate: £446/day (Inside IR35)
Contract Duration: 6 months
Additional Requirements: May require occasional travel to Dublin office
About The Role
We are looking for an experienced Senior Data Engineer to join a Data & Analytics (DnA) team. You will design, build, and operate production-grade data products across customer, commercial, financial, sales, and broader data domains. This role is hands-on and heavily focused on Databricks-based engineering, data quality, governance, and DevOps-aligned delivery.
You will work closely with the Data Engineering Manager, Product Owner, Data Product Manager, Data Scientists, Head of Data & Analytics, and IT teams to transform business requirements into governed, decision-grade datasets embedded in business processes and trusted for reporting, analytics, and advanced use cases.
Key Responsibilities
Job Title: Senior Data Engineer
Location: UK (Hybrid, 2–3 days per week in-office)
Rate: £446/day (Inside IR35)
Contract Duration: 6 months
Additional Requirements: May require occasional travel to Dublin office
About The Role
We are looking for an experienced Senior Data Engineer to join a Data & Analytics (DnA) team. You will design, build, and operate production-grade data products across customer, commercial, financial, sales, and broader data domains. This role is hands-on and heavily focused on Databricks-based engineering, data quality, governance, and DevOps-aligned delivery.
You will work closely with the Data Engineering Manager, Product Owner, Data Product Manager, Data Scientists, Head of Data & Analytics, and IT teams to transform business requirements into governed, decision-grade datasets embedded in business processes and trusted for reporting, analytics, and advanced use cases.
Key Responsibilities
- Design, build, and maintain pipelines in Databricks using Delta Lake and Delta Live Tables.
Essential Skills & Experience
- 6+ years in data engineering or advanced analytics engineering roles.
- Strong hands-on expertise in Python and SQL.
- Proven experience building production pipelines in Databricks.
- Excellent attention to detail, with the ability to create effective documentation and process diagrams.
- Solid understanding of data modelling, performance tuning, and cost optimisation.
- Hands-on experience with Databricks Lakehouse, including Delta Lake and Delta Live Tables for batch/stream pipelines.
- Knowledge of pipeline health monitoring, SLA/SLO management, and incident response.
- Unity Catalog governance and security expertise, including lineage, table ACLs, and row/column-level security.
- Familiarity with Databricks DevOps/DataOps practices (Git-based development, CI/CD, automated testing).
- Performance and cost optimization strategies for Databricks (autoscaling, Photon/serverless, partitioning, Z-Ordering, OPTIMIZE/VACUUM).
- Semantic layer and metrics engineering experience for consistent business metrics and self-service analytics.
- Experience with cloud-native analytics platforms (preferably Azure) operating as enterprise-grade production services.