About the role
Role: Data Operations Support — Data Engineer (offshore)
Location: Offshore
Level: 4/5
Job Descriptions
Data Operations Support — Data Engineer
Roles to be filled: 3 × Data Engineer (offshore)
Hiring brief
We are looking for candidates with strong business AND technical skills, ideally at the scale of GSD1.
Core profile: experience in ADF, Databricks, Python and SQL to provide day-to-day data operations support — monitoring pipelines, incident triage, issue resolution, root cause analysis and operational support for data and analytics platforms.
Engagement context
These roles form the integrated data support team taking over day-to-day operations of the Ascot data estate — the existing ADF/Python data pipelines and the new Global Data Store (GDS). The team delivers L2/L3 data support, monitoring, incident and problem management, minor enhancements and SLA-based service, working alongside Ascot, business users and third parties.
Coverage window: 08:00–17:00 UK business hours, Monday–Friday, with off-hours on-call support for P1 incidents.
Skills theme — common to all roles
Data platform
Azure Data Factory (ADF), Databricks (PySpark/Spark SQL), Azure SQL / SQL Server, Delta Lake
Programming
Python, SQL (advanced query & performance tuning)
Operations
Data Operations, L2/L3 Data Support, Production Support, Managed Services
Service
Incident Management, Root Cause Analysis, Problem Management, SLA Management
Quality & cloud
Data Quality, Reconciliation, Azure Cloud (Monitor, Key Vault, ADLS)
Role — Data Engineer (Data Operations Support)
Role title
Data Engineer — Data Operations Support
Positions
3 (offshore)
Location
Offshore
Experience
4+ years in data engineering / data support; hands-on ADF, Databricks, Python, SQL
Reports to
Senior Data Engineer / Data Lead
Role summary
A hands-on Data Engineer to provide day-to-day data operations support across the Ascot data estate. The role focuses on monitoring pipelines, triaging and resolving incidents, performing root cause analysis and delivering operational support and minor enhancements for the data and analytics platforms. The successful candidate is a strong ADF, Databricks, Python and SQL practitioner who works to defined SLAs and standard operating procedures.
Core skills (must have)
Data engineering & platform
- Azure Data Factory (ADF) — pipeline monitoring, troubleshooting and support.
- Databricks — PySpark, Spark SQL and Delta Lake for support and enhancements.
- Python — scripting and automation of routine data operations tasks.
- SQL — querying, debugging and performance troubleshooting (Azure SQL / SQL Server).
- Azure Cloud — working knowledge of Azure Monitor, ADLS and Key Vault.
Operations & service management
- Incident triage & resolution — L2/L3 support against SLAs using SOPs and the KEDB.
- Root cause analysis — investigate recurring issues and document findings.
- Data quality — run validations and reconciliation; report exceptions.
- SLA awareness — work to agreed response and resolution targets.
Key responsibilities
- Monitor ADF and Databricks pipelines and batch jobs; detect, triage and resolve failures.
- Resolve incidents and service requests within SLA, escalating complex issues to L3.
- Perform root cause analysis on recurring issues and contribute fixes and SOP updates.
- Deliver minor enhancements and performance improvements under guidance.
- Run data quality checks and reconciliation; investigate and report data issues.
- Maintain support documentation, run books and the KEDB.
- Participate in on-call rota for P1 incidents and month-end batch as required.
Business & behavioural skills
- Clear communication — concise updates on incident status and impact.
- Problem-solving mindset — methodical debugging and analytical thinking.
- Reliability — dependable delivery to SLAs in a production support environment.
- Collaboration — works well within an offshore/onshore support model.
Nice to have
- Databricks and/or Azure fundamentals/associate certifications.
- Exposure to data quality tooling and Power BI support.
- Experience supporting insurance or financial services data platforms.
Positions
3 (offshore)
Experience
4+ years hands-on
Support level
L2/L3 hands-on support
RCA
Performs & documents RCA
Enhancements
Delivers under guidance
People
Individual contributor
Stakeholders
Team-facing
Common technology across both roles: ADF · Databricks · Python · SQL · Azure Cloud · Data Quality · Incident Management · Root Cause Analysis · SLA Management.