
51 - 200 employees
âď¸ SaaS
đ˘ Enterprise
SaaS ⢠Enterprise
IMP Software is a company focused on providing software development services and solutions. The company operates remotely with a focus on consulting, software engineering, and development roles, mainly in the UK. It offers a platform for users to manage cookies and data privacy, indicating a commitment to compliance with privacy standards and ensuring a user-friendly online experience. IMP Software is involved in analytics to optimize their services and enhance customer experience.
đĽ 1 minute ago
đŹđ§ United Kingdom â Remote
đľ ÂŁ70k / year
â° Full Time
đ Senior
đ° Data Engineer
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51 - 200 employees
âď¸ SaaS
đ˘ Enterprise
SaaS ⢠Enterprise
IMP Software is a company focused on providing software development services and solutions. The company operates remotely with a focus on consulting, software engineering, and development roles, mainly in the UK. It offers a platform for users to manage cookies and data privacy, indicating a commitment to compliance with privacy standards and ensuring a user-friendly online experience. IMP Software is involved in analytics to optimize their services and enhance customer experience.
⢠Design and stand up the data warehouse/lakehouse ⢠Build pipelines ingesting data from source systems ⢠Build the centralised data model and dbt transformation layer ⢠Ensure transformations are version-controlled, tested, and documented ⢠Build data quality validation, monitoring, and alerting ⢠Implement row-level security for multi-tenant data ⢠Build and maintain the semantic/metrics layer with governed metric definitions ⢠Feed the semantic layer into Power BI, in-product reporting, and the AI layer ⢠Build data foundations for AI and intelligence features such as chat with data and proactively pushed insights ⢠Drive platform and tooling decisions and establish engineering quality standards ⢠Own the design and delivery of major platform components ⢠Collaborate with the Head of Data Engineering and grow into mentoring as the team expands
⢠Hands-on experience designing, building, and running data pipelines into a cloud warehouse or lakehouse in production ⢠Experience with a modern cloud data platform: Snowflake, Databricks, or similar ⢠Strong SQL and data modelling, including dimensional modelling and slowly changing dimensions ⢠Solid experience with a modern transformation framework such as dbt, Matillion, or PySpark ⢠Experience extracting data from source databases ⢠Strong judgment on data quality and ability to own technical decisions and explain trade-offs ⢠Software engineering practices including Git, CI/CD, and a disciplined SDLC ⢠Comfortable working as a senior individual contributor, setting standards and mentoring without formal line management ⢠Typically 5+ years in data engineering, with a track record of owning production pipelines and data models end to end ⢠Python for data engineering, pipelines, tooling, and automation ⢠Experience using AI coding agents such as Claude Code ⢠Data science grounding in statistical or machine-learning methods ⢠Knowledge of AI/ML data patterns including LLM-ready data, text-to-SQL, and RAG ⢠Experience with semantic/metrics layers such as dbt metrics or Cube.dev ⢠Knowledge of data governance, GDPR, or anonymisation ⢠SQL Server background ⢠Experience in a SaaS or product company
⢠27 days of holiday per year plus bank holidays ⢠Buy option for up to an additional 5 days of holiday ⢠Enhanced Maternity and Paternity leave ⢠AXA Health insurance including dental, optical and mental health ⢠Broadband allowance ⢠Home office stipend ⢠Life assurance (4 x basic salary) ⢠Encouraged and funded CPD ⢠Remote-first working with optional coworking days each month ⢠Optional coworking in Peterborough, Exeter, or Leeds ⢠Progression toward lead or principal roles
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