At a Glance
- Tasks: Lead data engineering projects and mentor a team to build impactful data solutions.
- Company: Join Apadmi, a forward-thinking tech company in the healthcare sector.
- Benefits: Enjoy competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic role with a focus on Agile methodologies and career advancement.
- Why this job: Make a real difference in healthcare by driving innovative data engineering practices.
- Qualifications: Experience in data engineering, cloud platforms, and team leadership required.
The predicted salary is between 63000 - 77000 £ per year.
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
- Take ownership of the end-to-end data platform, from API ingestion through to curated datasets and governed reporting outputs.
- 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.
- 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.
- 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
- A technical leader who understands how disciplined software development teams operate and can apply those concepts directly to data platforms.
- Patience, credibility, and communication skills needed to mentor teams transitioning to higher levels of technical maturity.
- 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.
Senior Data Engineer in Brighton employer: Apadmi
Apadmi is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration, particularly in the vibrant city of Brighton. As a Senior Data Engineer, you will not only lead a talented team but also have access to extensive professional growth opportunities, including mentoring and hands-on experience with cutting-edge cloud technologies. With a focus on healthcare, you'll contribute to meaningful projects that make a real difference, all while enjoying the flexibility of mostly remote work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Brighton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Apadmi!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Apadmi.
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We think you need these skills to ace Senior Data Engineer in Brighton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Apadmi, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Apadmi. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Apadmi
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Apadmi!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
