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- Tasks: Lead data acquisition and build Azure-based data pipelines for impactful projects.
- Company: Join Certain Advantage, a forward-thinking company in the heart of London.
- Benefits: Competitive pay, career growth, and a chance to work with cutting-edge technology.
- Other info: Onsite 3 days a week with opportunities for professional development.
- Why this job: Make a real impact in data engineering while leading a dynamic team.
- Qualifications: Expertise in Azure services, Python, SQL, and proven leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
Certain Advantage are hiring for a Data Engineering Lead based in London. This role is on an initial contract till the end of the year and is required to be onsite 3 days a week. The successful candidate will lead the data acquisition function by defining ingestion strategy and building Azure-based data pipelines. You will translate end-user requirements into scalable engineering solutions, act as the domain's primary Data Manager for data governance, lineage, quality, and master data management, and lead a team of data engineers in delivering reliable, compliant, and high-value data solutions to Trading, Risk, Finance, and Operations.
Your responsibilities:
- Own ingestion strategy and define scalable batch/streaming data patterns
- Design and deliver Azure-based data pipelines and platform solutions
- Standardize connectors, schemas, controls, CI/CD, IaC, and automated testing
- Lead onboarding of enterprise and market data sources with SLAs and observability
- Partner with Product Owners, Architects, and business stakeholders on data design and governance
- Act as domain Data Manager for lineage, metadata, quality, access, and master data ownership
- Ensure compliance with data lifecycle, audit, records management, and governance standards
- Drive engineering best practices, operational excellence, and continuous improvement
- Manage capacity planning, skills development, and vendor contributions
The individual:
- Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark.
- Experience with data modeling, metadata and lineage tooling; performance & cost optimization.
- Proven leadership in engineering teams; Agile/DevOps ways of working; CI/CD; test automation.
- Exposure to energy trading systems (ETRM/Endur), market data (ICE, Platts, Bloomberg), SAP.
- Degree in Computer Science/Engineering or equivalent experience; Azure Data Engineer or Databricks certifications a plus.
Does this sound like your next career move? Apply today.
Working with Certain Advantage
We go the extra mile to find the best people for the job. If you're hunting for a role where you can make an impact and grow your career, we'll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.
If this job isn't for you, head to certainadvantage.co.uk and register for job alerts and career guidance tips.
Data Engineering Lead employer: Certain Advantage
Contact Detail:
Certain Advantage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. 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 Azure-based data pipelines and any projects you've led. 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 common data engineering scenarios. Be ready to discuss how you've tackled challenges in ingestion strategies or data governance in past roles.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to stay updated on new opportunities tailored to your skills.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Lead role. Highlight your experience with Azure data services and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your leadership in engineering teams and how you've driven best practices in previous positions.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills, especially in Python, SQL, and Spark/PySpark. We love seeing how you’ve applied these in real-world scenarios, so be sure to include relevant details in your application.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll make sure your application gets into the right hands. Don’t miss out on this opportunity!
How to prepare for a job interview at Certain Advantage
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure data services like ADLS, ADF, and Databricks. Be ready to discuss how you've used these tools in past projects, especially in building data pipelines and managing data governance.
✨Showcase Your Leadership Skills
As a Data Engineering Lead, you'll need to demonstrate your leadership experience. Prepare examples of how you've led teams, managed projects, and implemented Agile/DevOps practices. Highlight any successes in mentoring team members or driving operational excellence.
✨Understand the Business Context
Familiarise yourself with the specific needs of Trading, Risk, Finance, and Operations. Think about how your engineering solutions can add value to these areas. Being able to translate technical jargon into business benefits will impress your interviewers.
✨Prepare for Technical Questions
Expect to face technical questions related to data ingestion strategies, CI/CD processes, and data quality management. Practice articulating your thought process clearly and concisely, as this will showcase your problem-solving skills and technical expertise.