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- Tasks: Build reliable data pipelines and collaborate with teams to deliver high-quality data solutions.
- Company: Dynamic tech company focused on innovation and collaboration.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by solving data challenges and supporting decision-making across the organisation.
- Qualifications: Experience in ETL/ELT pipelines, strong SQL skills, and familiarity with Azure services.
- Other info: Join a supportive team with a focus on quality and continuous improvement.
The predicted salary is between 42000 - 58000 £ per year.
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.
Your week: 36.25 hours, Monday – Friday (9am – 5.15pm)
Location: Hybrid, with weekly presence in Milton Keynes or Boston
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.
We’re looking for engineers who care about quality and delivery. This role is about building data pipelines that are reliable, well-designed and genuinely useful — not just technically interesting. If you enjoy solving real problems and seeing your work used, this is a great opportunity.
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 in Boston employer: Amplius
Contact Detail:
Amplius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer in Boston
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects, especially those using Azure services. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling skills. Be ready to discuss how you've tackled real-world data challenges and how you ensure data quality and reliability in your projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by our hiring team. Plus, it shows you’re genuinely interested in joining us at StudySmarter and contributing to our mission.
We think you need these skills to ace Data Platform Engineer in Boston
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Platform Engineer role. Highlight your hands-on experience with ETL/ELT pipelines and any relevant projects you've worked on in Azure.
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 pipelines and collaborated with teams to deliver quality results.
Showcase Your Technical Skills: Don’t forget to mention your strong SQL skills and experience with Databricks. We want to see how you’ve applied these in real-world scenarios, so be specific about your contributions and outcomes.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Amplius
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure Data Factory, Databricks, and SQL. Brush up on your ETL/ELT pipeline knowledge and be ready to discuss how you've used these tools in past projects.
✨Showcase Collaboration Skills
Since this role emphasises teamwork, prepare examples of how you've successfully collaborated with BI analysts or other stakeholders. Highlight any experiences where your contributions led to improved data quality or project outcomes.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in data engineering and how you resolved them. This could involve troubleshooting a data pipeline issue or optimising performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it gives you a chance to engage with your interviewers!
