Software Engineer III – Data – FMX

Responsibilities

We are representing a confidential digital platform company with a role for a Data Engineer III based in London. You will be part of the data engineering function that builds and maintains the data infrastructure powering critical business decisions. Working within a Python, Airflow, and Snowflake/Databricks stack, you'll move data reliably and securely from source systems to analytics-ready outputs.

Your day-to-day will include:

• Implementing new ingestion sources end-to-end following senior engineers' designs—connector code, DAGs, schemas, monitoring, and catalog registration—and extending existing frameworks when new patterns are needed
• Investigating pipeline failures independently, recognizing known issue classes, and shipping documented fixes without escalation
• Identifying downstream consumers before launching new pipelines and flagging potential data quality or latency impacts during spec review
• Writing clear handovers when escalating genuinely novel issues—detailing what you tried, what you ruled out, and where the problem diverges from known patterns
• Reviewing peers' pipeline PRs and catching non-obvious issues such as missing idempotency checks or race conditions that could corrupt downstream data
• Turning ambiguous "why is this data wrong?" questions into structured investigations by tracing data lineage from source to warehouse
• Contributing to data security and governance work, including PII masking and access controls, plus reverse ETL integrations
• Building strong working relationships with internal stakeholders to scope and clarify requirements
• Mentoring more junior engineers on their first significant projects, pairing on tricky decisions and helping them apply team conventions

What We're Looking For

• 3–5 years of professional software or data engineering experience
• Strong SQL and Python skills, with solid experience building and operating production data pipelines
• Comfort investigating and root-causing pipeline issues independently before escalating
• Experience with workflow orchestration tools such as Airflow and a cloud data warehouse or lakehouse platform like Snowflake or Databricks
• Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality testing
• Experience giving substantive code review feedback beyond style or formatting
• Strong communication skills—able to write clear technical handovers, ask sharp questions in spec review, and explain data lineage investigations to non-technical stakeholders
• A track record of taking ownership of known-class problems end-to-end rather than needing step-by-step direction

Nice to have:

• Experience extending or building reusable pipeline frameworks or templates
• Exposure to reverse ETL tools, PII masking, or data access governance (RBAC)
• Exposure to observability and monitoring tooling for pipeline health and alerting
• Some experience mentoring or informally supporting more junior engineers
• Background in gaming, betting, e-commerce, or another regulated/high-compliance industry

How We Work with You

Candidates apply directly on getajob.ai. Our talent team will screen your application and arrange an initial conversation. If there's a strong match, we will submit your profile to our client on your behalf. Please do not contact the client directly—all communication and interview coordination will flow through Get A Job.ai to ensure a smooth, professional process.

Pay

Pay details will be discussed with qualified candidates during the screening process.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applicants of all backgrounds and work to ensure fair consideration throughout our recruitment process.