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- Tasks: Lead data acquisition and build Azure-based data pipelines for impactful projects.
- Company: Join Certain Advantage, a company dedicated to finding the best talent in various sectors.
- Benefits: Competitive pay, career growth opportunities, and a chance to work with cutting-edge technology.
- Other info: Onsite role in London with a focus on collaboration and innovation.
- 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 experience.
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 in London employer: Certain Advantage
Contact Detail:
Certain Advantage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a data role. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects or contributions to open-source work that highlights your expertise in Azure and data engineering. We love seeing practical examples of what you can do!
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and problem-solving skills. We want to see how you think, so don’t hold back!
✨Apply Through Our Website
If this Data Engineering Lead role sounds like your cup of tea, don’t hesitate! Apply through our website for a smoother application process. We’re here to help you every step of the way in your job search journey.
We think you need these skills to ace Data Engineering Lead in London
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 past positions.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in Python, SQL, and Spark/PySpark. We’re keen to see how you’ve applied these in real-world scenarios, especially in relation to data governance and quality management.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
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, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Data Engineering Lead, you'll need to demonstrate your leadership experience. Prepare examples of how you've successfully led teams, managed projects, or implemented best practices in engineering. Highlight your approach to mentoring and developing team members.
✨Understand the Business Context
Familiarise yourself with the specific needs of Trading, Risk, Finance, and Operations. Be prepared to discuss how your data solutions can add value to these areas. Showing that you understand the business context will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to data ingestion strategies, CI/CD processes, and data governance. Practice explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.