Senior Data Engineer

Posted Yesterday
Brighton, Town of Brighton, NY, USA
In-Office
Senior level
Mobile • App development
The Role
Own the end-to-end cloud data platform, including ingestion pipelines, data warehousing, semantic models, governed reporting, and quality controls. Establish Git, CI/CD, testing, environment management, and data modeling standards. Lead Agile delivery, manage the backlog, automate workflows, and line-manage and mentor three engineers. Translate operational, clinical, and commercial needs into technical roadmaps and scalable data products.
Summary Generated by Built In

Senior Data Engineer

Performance Team | Brighton / mostly remote

We’re looking for a Senior Data Engineer to join Apadmi and help establish and drive high-impact data engineering capabilities for one of our key healthcare client accounts. This is a senior, hands-on role combining technical depth with team leadership to build cloud-based data infrastructure, business intelligence tooling, and client-facing analytics products. If you bring strong software engineering disciplines to data platforms and enjoy mentoring teams to raise technical capability, this is the role for you.

Working closely with operational, clinical, and commercial stakeholders, you will own the technical data platform roadmap and govern the quality of all data outputs. Operating within an Agile environment, you will bridge the gap between software delivery best practices and data engineering, embedding modern ways of working while line-managing a specialist team of engineers to deliver trusted, scalable, and well-documented data products.

 What you’ll be working on

In this role, you will take ownership of the end-to-end data platform, from API ingestion through to curated datasets and governed reporting outputs. You will act as the technical authority across data engineering, analytics engineering, and BI development disciplines, establishing engineering standards such as Git workflows, CI/CD, and peer reviews to transition the team toward reusable, well-modeled data products.

  • Define and own the technical architecture of the data platform, cloud data warehouse, ingestion pipelines, and semantic reporting layers.

  • Establish engineering best practices across the team, including Git source control, branching strategies, environment management (dev/test/prod), and automated testing.

  • Line manage and mentor a team of three engineers, fostering professional growth and embedding quality-first engineering principles through collaborative working.

  • Oversee data ingestion pipelines, ensuring reliable monitoring, error handling, and quality checks at the point of ingestion rather than retrospectively.

  • Lead Agile delivery ceremonies (stand-ups, sprint planning, retrospectives) and manage the team backlog, breaking complex requirements into refined user stories.

  • Drive process automation across data production, reporting, and forecasting workflows using pragmatic scripting to eliminate manual tasks.

  • Maintain strict data governance, establishing formal QA sign-off processes, versioned data dictionaries, and escalation workflows before data reaches client audiences.

  • Engage with senior operational, clinical, and commercial stakeholders to translate complex business needs into clear technical roadmaps and data products.


What you’ll bring to the team

You are a technical leader who understands how disciplined software development teams operate and can apply those concepts directly to data platforms. You bring the patience, credibility, and communication skills needed to mentor teams transitioning to higher levels of technical maturity. With a low tolerance for ambiguity in data ownership and metric definitions, you thrive in structured, fast-paced delivery environments.

  • Proven experience in a senior data engineering or technical lead role, including direct line management and mentorship of engineers.

  • Strong hands-on experience with cloud data platforms, ideally including Azure Data Factory and Azure SQL/Synapse Analytics (or AWS/GCP equivalents).

  • Demonstrable experience implementing Git-based version control, CI/CD pipelines, environment separation, peer code reviews, and automated testing.

  • Deep understanding of data modeling principles (fact/dimension design) and strong BI development skills (e.g., Power BI, semantic model design, DAX).

  • Hands-on experience with languages like Python to automate data workflows and solve problems beyond standard GUI tooling.

  • Proven ability to introduce and sustain Agile delivery practices, backlog management, and effort estimation within technical teams.

  • Experience with dbt/analytics engineering, data function rebuilds, or working within healthcare/regulated data environments is highly desirable.

  • Excellent communication skills, with the ability to clearly articulate technical decisions, trade-offs, and metrics to non-technical stakeholders.

Skills Required

  • Proven experience in a senior data engineering or technical lead role, including direct line management and mentorship of engineers.
  • Strong hands-on experience with cloud data platforms, ideally including Azure Data Factory and Azure SQL or Synapse Analytics, or AWS/GCP equivalents.
  • Experience implementing Git-based version control, CI/CD pipelines, environment separation, peer code reviews, and automated testing.
  • Deep understanding of data modeling principles, including fact and dimension design, and strong BI development skills such as Power BI, semantic model design, and DAX.
  • Hands-on experience with Python to automate data workflows and solve problems beyond standard GUI tooling.
  • Proven ability to introduce and sustain Agile delivery practices, backlog management, and effort estimation within technical teams.
  • Experience with dbt or analytics engineering, data function rebuilds, or healthcare and regulated data environments.
  • Excellent communication skills, including the ability to articulate technical decisions, trade-offs, and metrics to non-technical stakeholders.
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The Company
HQ: Manchester
250 Employees
Year Founded: 2009

What We Do

Experts in everything mobile, Apadmi has over 260 experts based across their HQ in Manchester's Media City and their hubs in London, Edinburgh, Lisbon and Amsterdam. Apadmi design, develop and optimise mobile apps for leading brands. We unlock new value through strategy, platforms, middleware and systems integrations that transform the way they work. Our digital solutions are designed to connect people in ever-more innovative ways, wherever they are. By taking time to truly understand your needs, we can create experiences that not only meet your requirements now but continue to deliver genuine benefits into the future – both for your business and your customers. From leading-edge technology to ground-breaking apps, our goal is to enrich the lives of people on the move all around the world.

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