At a Glance
- Tasks: Lead the design and delivery of scalable data platforms and pipelines.
- Company: Join a forward-thinking company in the heart of London.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and mentor fellow engineers for career advancement.
- Why this job: Make a real impact by shaping enterprise-scale data solutions in a dynamic environment.
- Qualifications: 6-10+ years in data engineering with strong SQL and Databricks expertise.
The predicted salary is between 30000 - 40000 € per year.
Experienced Data Engineer required to join our client on an initial six-month contract to support the design, build, and delivery of enterprise-scale data platform solutions. This is a hands-on technical leadership role responsible for building core platform components while setting and maintaining engineering standards across the wider data engineering team. The successful candidate will lead the technical design and delivery of data pipelines, transformations, and data models across the platform, ensuring outputs are scalable, reliable, and fit for consumption as governed data products.
You will work closely with data consultants, architects, governance teams, and integration engineers to deliver high-quality, production-ready solutions within a modern cloud-based data environment. This role requires strong technical expertise across Databricks and modern lakehouse architectures, alongside the ability to provide leadership, mentorship, and best-practice guidance to Data Engineers within the squad.
Key Requirements
- 6–10+ years’ experience in data engineering, including technical leadership responsibilities
- Strong SQL skills and extensive experience building ETL/ELT pipelines at scale
- Hands-on expertise with Databricks, including Autoloader, Delta Live Tables, Delta Lake, and Unity Catalog
- Strong experience designing and implementing lakehouse and medallion architecture patterns
- Strong data modelling experience, including dimensional modelling, entity-based models, and SCD Type 2 handling
- Experience designing and building scalable data ingestion, transformation, and serving pipelines
- Ability to implement data quality rules, validation frameworks, and testing patterns across data pipelines
- Experience performance tuning pipelines, including partitioning, latency optimisation, and compute efficiency
- Strong understanding of data governance, access control, and regulated data environments
- Experience contributing to or building API-backed data products and analytics solutions
- Proven ability to define engineering standards, conduct code reviews, and mentor engineering teams
- Strong stakeholder management skills with the ability to work across engineering, architecture, governance, and product teams
Location: London (Hybrid, travel to office when required)
Data Engineer employer: Ventula Consulting
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your expertise as a Data Engineer will be recognised and nurtured. With a focus on employee growth, you will have access to mentorship opportunities and the chance to lead impactful projects within a modern cloud-based environment in London. Enjoy the flexibility of a hybrid working model while contributing to enterprise-scale data solutions that drive meaningful change.
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, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and data pipelines. 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 technical knowledge and soft skills. Practice explaining your past projects and how you've tackled challenges in data engineering. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
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 Databricks, SQL skills, and any leadership roles you've held. We want to see how your background aligns with what we're looking for!
Showcase Your Projects:Include specific projects where you've built ETL/ELT pipelines or worked with lakehouse architectures. We love seeing real examples of your work, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about data engineering and how you can contribute to our team. We appreciate a personal touch that shows us who you are.
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’s super easy!
How to prepare for a job interview at Ventula Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills and get familiar with Databricks, especially Autoloader and Delta Live Tables. Be ready to discuss your experience with ETL/ELT pipelines and lakehouse architectures, as these are crucial for the role.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples of how you've mentored others or set engineering standards in previous positions. Highlight any experiences where you led a team or contributed to best practices in data engineering.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about challenges you've faced in building scalable data solutions and how you overcame them. Be ready to explain your thought process and the impact of your decisions.
✨Understand the Bigger Picture
Familiarise yourself with the company's data governance policies and how they relate to regulated environments. Be prepared to discuss how you would ensure data quality and compliance while working with cross-functional teams.
