Senior Data Engineer (Regulatory Reporting) - €550/day

Location: Dublin City Centre (Hybrid)

Duration: Rolling 6-month contract

Start: ASAP

The Role

A large financial services firm in Dublin is seeking a Senior Data Engineer to work on a variety of initiatives: regulatory reporting, new product launches, and platform upgrades. You will be jumping into a multi-project environment, owning pipelines end-to-end, and working closely with business, risk, and compliance folks to get the data right.

What You'll Be Doing

• Building and maintaining scalable data pipelines and ETL/ELT flows for regulatory reporting and product work.
• Taking a lead role on the CRR3 reporting programme - think data accuracy, lineage, and making sure everything stands up to regulator scrutiny.
• Writing heavy-duty SQL across Teradata, Oracle, and SQL Server - pulling, transforming, and validating data from multiple systems.
• Coding in Python for automation, data quality checks, and pipeline orchestration.
• Using Git properly: version control, code reviews, and plugging into CI/CD.
• Working with Teradata GCFR for high-volume data loads and extracts.
• Teaming up with analysts, risk, finance, and compliance to turn reporting requirements into solid technical specs.
• Putting in place data quality checks, monitoring, and alerting so critical data doesn’t break silently.

What You Bring

• 5+ years in data engineering / ETL / data platform roles - banking, financial services, or other regulated sectors is a big plus.
• Expert SQL across Teradata, Oracle, and/or SQL Server - you know how to write complex queries and make them run fast.
• Strong Python skills for data work (pandas, PySpark, or similar) and building automation.
• Real hands-on experience with Teradata GCFR for bulk loads/unloads and performance tuning.
• Solid Git habits: branching, reviews, and working in a team codebase.
• Experience delivering regulatory reporting (CRR3, COREP, FINREP, IFRS 9, or similar) is highly desirable.
• Good grasp of data modelling, dimensional modelling, and data warehouse concepts.
• Familiarity with orchestration tools (Airflow, Control-M, ADF, etc.) and job scheduling.
• Strong problem-solving and communication skills - you can talk to non-tech stakeholders without breaking a sweat.
• A degree in CS, Engineering, Maths, or similar (or equivalent real-world experience).

Bonus Points

• Cloud data platforms (Azure, AWS, GCP) and modern data stack tools.
• Data governance, lineage, and metadata management experience.