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- Tasks: Build and optimise data structures for top-tier clients in finance and tech.
- Company: Join Brickendon Consulting, a leading global consultancy with a focus on innovation.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by transforming complex data environments for major firms.
- Qualifications: 2+ years in data engineering with skills in SQL, Python, and Apache Spark.
- Other info: Collaborative culture with a focus on knowledge sharing and career advancement.
The predicted salary is between 60000 - 80000 £ per year.
Brickendon Consulting is an award-winning global management and technology consultancy specializing in innovative solutions and transforming complex, highly regulated environments. Founded in 2010, Brickendon has a strong focus on financial services and the public sector, helping organizations navigate and implement significant changes. We have delivered projects for some of the world’s largest firms in financial services, governments, and leading fintechs and startups, including JP Morgan, HSBC, Deutsche Bank and Rolls Royce.
We are currently seeking a Data Engineer for one of our clients.
- Work location: London
- Work setting: hybrid
Responsibilities
- Build EDW tables, views, and stored procedures according to physical data model specifications.
- Develop Semantic Layer views, pre-computed aggregations, and Tableau-compatible data structures.
- Write and execute unit tests and integration tests for all Lakehouse components.
- Optimize table partitioning, clustering, and caching configurations for query performance against NFR targets.
- Support knowledge transfer activities: participate in pair-programming sessions with SLC data engineers.
Qualifications
- Minimum 2 years in data engineering, with hands-on experience building data pipelines and data warehouse structures.
- Proficiency in SQL, Python, and Apache Spark / PySpark.
- Experience with Databricks (Delta Lake, notebooks, SQL Warehouses) or equivalent cloud data platform.
- Familiarity with medallion architecture (Bronze / Silver / Gold) and data lake design patterns.
- Experience with version control (Git) and CI/CD pipelines for data engineering workflows.
Data Engineer employer: Brickendon Consulting
Contact Detail:
Brickendon Consulting 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 at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. Use platforms like GitHub to share your code and demonstrate your proficiency in SQL, Python, and Apache Spark.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data warehouse structures and medallion architecture. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented data engineers, and applying directly can give you a better chance to stand out from the crowd.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of data pipelines or warehouse structures you've built. If you've worked with Databricks or implemented medallion architecture, let us know! This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
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 Brickendon Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, and Apache Spark/PySpark. Brush up on your knowledge of Databricks and the medallion architecture. Being able to discuss these technologies confidently will show that you’re ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built data pipelines or data warehouse structures. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Focus
Research Brickendon Consulting and their work in financial services and the public sector. Understanding their client base and the types of projects they undertake will help you tailor your answers and show genuine interest in the role.
✨Practice Problem-Solving
Be ready for technical questions or case studies during the interview. Practise explaining your thought process when optimising table partitioning or configuring caching. This will showcase your analytical skills and ability to think on your feet.