Xcede
Analytics Engineer
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Analytics Engineer
x2 days a month in their HQ in Surrey
We're partnered with a major UK consumer financial services group that has put serious investment behind its cloud data estate over the last few years. The data and AI function is expanding, and this hire will work day to day with engineers, scientists, analysts and architects across a genuinely broad platform.
The culture is agile and hands-on. The focus here is durable, reusable data products rather than ad hoc reporting, so there's real scope to own models end to end and see them used widely across the business.
What You'll Be Doing
- Build and tune the pipelines that feed analytics and AI workloads, with a focus on reliability and performance at scale
- Own data models end to end, from source through to curated, well-documented outputs the wider business can trust
- Bring together data from a range of systems, applying the governance, quality and engineering standards the platform runs on
- Partner with product owners and agile squads to turn business problems into delivered data solutions
- Shape how the team works, raising the bar on tooling, testing and engineering practice across the data community
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What They're Looking For
- Demonstrable dimensional and end to end modelling experience, including tuning workloads with dbt and SparkSQL
- Confident Python, PySpark and SQL, with a strong grounding in ETL and transformation logic
- Commercial exposure to a modern lakehouse or cloud warehouse, Databricks or Snowflake in particular, ideally on AWS or Azure
- Comfortable with orchestration and automation, including Airflow, Git and CI/CD tooling such as Jenkins
- Someone who enjoys working closely with others and takes pride in building platforms that hold up over time
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If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
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