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- Tasks: Build reliable data pipelines and collaborate with teams to deliver high-quality data.
- Company: Innovative company focused on data-driven decision-making.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by solving problems and delivering valuable data solutions.
- Qualifications: Experience in ETL/ELT pipelines, strong SQL skills, and familiarity with Azure services.
- Other info: Join a collaborative environment with excellent career advancement opportunities.
Salary: ÂŁ50,000 per year
Contract: Permanent, full time
Your week: 36.25 hours, Monday – Friday (9am – 5.15pm)
Location: Hybrid, with weekly presence in Milton Keynes or Boston
Summary
This role is for a hands‑on engineer who enjoys building reliable, scalable data pipelines that people trust and use. As a Data Platform Engineer, you’ll play a key part in delivering high‑quality data into our cloud platform, enabling reporting, analytics and evidence‑based decision‑making across the organisation. You’ll work closely with BI, data product and governance colleagues to turn data from multiple source systems into well‑engineered, production‑ready datasets.
Snapshot of your role
You’ll design, build and maintain ETL/ELT pipelines in the Microsoft cloud, primarily using Azure Data Factory, Databricks and related Azure services. Your focus will be on producing data pipelines that are robust, performant and cost‑efficient, with quality and reliability built in from the start. You’ll work with modern engineering practices — including Git, CI/CD and environment separation — to promote small, safe and frequent changes. You’ll also play an active role in data quality, validation and governance, ensuring datasets are well‑documented, secure and discoverable. Collaboration is key. You’ll partner with BI analysts, data product teams and business stakeholders to ensure data is accessible, well‑modelled and fit for purpose, supporting insight and decision‑making across the organisation.
What we’re looking for
You’ll be a motivated data engineer with strong technical foundations and a practical mindset. You’ll bring:
- Hands‑on experience building ETL/ELT pipelines in a cloud environment
- Strong SQL skills and experience with data modelling
- Experience working with Databricks (PySpark/SQL) and Azure data services
- Familiarity with Git and CI/CD approaches for data engineering
- A collaborative approach and attention to detail
You’re proactive, methodical and comfortable working with both technical and non‑technical colleagues. You take pride in building data solutions that are dependable, well‑documented and ready for production use.
Data Platform Engineer employer: Amplius
Contact Detail:
Amplius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have a lead on that perfect Data Platform Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects, especially those using Azure Data Factory and Databricks. This will give potential employers a taste of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling skills. Be ready to discuss your experience with Git and CI/CD practices, as well as how you've collaborated with BI analysts and stakeholders in the past.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your hands-on experience and passion for building reliable data pipelines.
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL/ELT pipelines and Azure services. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering. Share specific examples of how you've built reliable data solutions and collaborated with teams to drive results.
Showcase Your Technical Skills: Don’t forget to mention your SQL prowess and any hands-on experience with Databricks or Git. We love seeing candidates who can demonstrate their technical foundations clearly!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Amplius
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, especially Azure Data Factory and Databricks. Brush up on your ETL/ELT pipeline building skills and be ready to discuss specific projects where you've used these technologies.
✨Showcase Collaboration Skills
Since this role involves working closely with BI analysts and data product teams, prepare examples of how you've successfully collaborated in past projects. Highlight your ability to communicate complex technical concepts to non-technical colleagues.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss real-world problems you've solved using data engineering. Think about challenges you faced while building data pipelines and how you ensured they were reliable and efficient. This will show your practical mindset and commitment to quality.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data governance practices and how they ensure data quality. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
