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- Tasks: Design and build scalable data solutions using Python and SQL on Azure Cloud.
- Company: Join a forward-thinking team focused on innovative data engineering.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technologies and agile practices.
- Why this job: Be part of an exciting Microsoft Fabric implementation and shape the future of data platforms.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and Azure knowledge.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation.
What you’ll do:
- Design and build robust data pipelines and ETL processes using Python and SQL.
- Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform.
- Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions.
- Optimise data workflows for performance, reliability, and cost efficiency.
- Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making.
- Implement best practices for data governance, monitoring, and CI/CD automation.
What we’re looking for:
- Proven experience as a Data Engineer or similar role.
- Must have financial services experience.
- Strong Python coding skills and advanced SQL expertise (query optimisation, data modelling).
- Hands-on experience with Azure data ecosystem (Data Factory, Synapse, Databricks, etc.).
- Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies.
- Solid understanding of data architecture, pipelines, and cloud-based ETL/ELT frameworks.
- Familiarity with version control (Git) and CI/CD tools.
- Strong problem-solving skills and the ability to work in an agile, collaborative environment.
Apply now if you’re passionate about building modern data solutions with Python, SQL, Azure, and Microsoft Fabric, and help us deliver smarter, data-driven decisions.
Data Engineer employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Microsoft Fabric. 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 best data pipelines and projects using Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Azure services and Microsoft Fabric. Be ready to discuss how you've optimised data workflows in the past and how you can contribute to our team’s success.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining us.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Azure services. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the opportunity to work with Microsoft Fabric and how your background in financial services makes you a great fit for our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data engineering. We love seeing candidates who can think critically and come up with innovative solutions, especially in an agile environment.
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 to join our team at StudySmarter!
How to prepare for a job interview at Harrington Starr
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the Azure data ecosystem. Brush up on your knowledge of Data Factory, Synapse, and Databricks, as these will likely come up during the interview. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to optimise data workflows or implement CI/CD practices. This will demonstrate your analytical thinking and problem-solving capabilities, which are crucial for a Data Engineer.
✨Understand Microsoft Fabric
Since the role involves working with Microsoft Fabric, make sure you have a solid understanding of its features and benefits. Research how it integrates into enterprise data strategies and be ready to share your thoughts on its potential impact on data engineering. This shows your enthusiasm and readiness to contribute to the team’s goals.
✨Collaborate and Communicate
As a Data Engineer, you'll need to work closely with analysts and data scientists. Be prepared to discuss how you’ve collaborated in the past and how you ensure high-quality data for decision-making. Highlight your communication skills and your ability to work in an agile environment, as this is key to success in the role.