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- Tasks: Lead the design and delivery of scalable data platforms and pipelines.
- Company: Join a forward-thinking company in London with a hybrid work model.
- Benefits: Competitive day rate of £350, flexible working, and hands-on leadership experience.
- Other info: Opportunity for mentorship and growth in a dynamic team.
- Why this job: Make a real impact by shaping enterprise-scale data solutions in a modern environment.
- Qualifications: 6-10+ years in data engineering with strong SQL and ETL/ELT skills.
The predicted salary is between 70000 - 80000 £ 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.
- 6–10+ years’ experience in data engineering, including technical leadership responsibilities
- Strong SQL skills and extensive experience building ETL/ELT pipelines at scale
- 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
Location: London (Hybrid, travel to office when required)
Day rate: £350 p/d (Outside IR35)
Senior Engineer, Data Engineering employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving ETL/ELT pipelines and data models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling skills. Be ready to discuss your experience with performance tuning and data governance, as these are hot topics in the industry right now.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities that could be a perfect fit for your skills. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Engineer, Data Engineering. Highlight your experience with data pipelines, 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 examples of projects you've worked on that demonstrate your expertise in building scalable data solutions. We love seeing real-world applications of your skills, especially if they relate to Databricks or modern lakehouse architectures.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. We appreciate a personal touch, so let your personality come through while keeping it professional.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Ventula Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around Databricks and lakehouse architectures. Be ready to discuss your experience with SQL, ETL/ELT pipelines, and data modelling in detail. Prepare examples of how you've tackled challenges in these areas.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, think about times when you've mentored others or led a project. Be prepared to share specific instances where you set engineering standards or guided your team through complex problems.
✨Understand Data Governance
Familiarise yourself with data governance principles and how they apply to regulated environments. Be ready to discuss how you've implemented data quality rules and validation frameworks in your previous roles.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would approach building scalable data ingestion and transformation pipelines, and be ready to explain your thought process clearly.