At a Glance
- Tasks: Develop a cloud-based Lakehouse platform and enhance data pipelines for analytics.
- Company: Established financial services company with a focus on innovation.
- Benefits: Up to £85k salary, bonuses, remote work, and comprehensive benefits.
- Other info: Opportunity for career growth in an Agile/DevOps environment.
- Why this job: Join a dynamic team and make impactful decisions in the financial sector.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills required.
The predicted salary is between 51750 - 63250 £ per year.
Location: Remote (UK), with occasional travel to London
Salary: Up to 85k + bonus + benefits
Our client, an established financial services company, are looking to hire a Data Engineer to join the team. You'll take a hands-on role developing a cloud-based Lakehouse platform on Azure, helping analytics teams make faster and better-informed commercial decisions. They're looking for someone who enjoys both the technical build and working closely with the business.
The role:
- Develop and enhance a central Lakehouse platform supporting pricing, risk and performance analytics
- Build, test and deploy ELT pipelines and data products with strong governance
- Assess the impact of change on the data model and handle new requests and incidents
- Work with architects, analysts and engineers to maintain data standards and quality
- Provide trusted, well-structured data for MI and reporting
- Partner with data scientists to productionise ML models
- Deliver improvements in an Agile / DevOps environment
Requirements:
- 5+ years in data engineering and building data pipelines
- Strong Lakehouse and data management knowledge
- Strong Python and SQL
- Dimensional modelling (star schema) for Power BI
- Insurance or financial services data, MI or reporting experience
- Solid grasp of CI/CD and data operations
- Confident communicator, well organised and commercially minded
Nice to have:
- Infrastructure-as-code tooling
Data Engineer in London employer: ARC IT Recruitment
As a leading Tier 1 main contractor based in Cambridge, we pride ourselves on fostering a dynamic work culture that prioritises employee growth and development. Our commitment to delivering high-value commercial construction projects not only ensures job satisfaction but also offers competitive salaries and comprehensive packages, making us an excellent employer for those seeking meaningful and rewarding careers in the construction industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
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We think you need these skills to ace Data Engineer in London
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!
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Craft a Tailored Cover Letter:For a full-time role at ARC IT Recruitment, 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 ARC IT Recruitment. 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 ARC IT Recruitment
✨Brush Up on Your Statistics
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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
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✨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.
