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- Tasks: Lead the transformation of our enterprise data platform with innovative strategies and hands-on engineering.
- Company: Join a forward-thinking company at the forefront of data technology.
- Benefits: Enjoy a competitive contract, hybrid working, and opportunities for professional growth.
- Why this job: Make a significant impact in modernising data platforms while championing responsible tech adoption.
- Qualifications: 10+ years in data engineering/architecture with expertise in cloud environments and AI/ML.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Data Platform Engineering Strategy Lead provides strategic and hands-on leadership to modernize, optimize, and innovate the enterprise data platform across corporate banking domains. The role unites architecture strategy, AI/ML enablement, and practical engineering guidance to accelerate delivery, improve scalability and cost efficiency, and ensure alignment to enterprise governance, standards, and approved tooling. The Lead partners closely with Platform/CTI/System teams and Agile Release Trains to define reusable patterns, de-risk delivery, and translate proofs of concept into repeatable, production-grade solutions—while championing data literacy and responsible technology adoption.
This Position will be a 6 month Rolling contract on a hybrid working basis with 3 days required in the Bromley based office.
Required Skills:- 10+ years in data engineering/architecture across cloud or hybrid environments, with measurable impact on modernization, scalability, and cost optimization.
- Hands-on expertise with cloud-native Lakehouse platforms (Databricks, Snowflake), streaming (Kafka), ETL/ELT (Informatica), BI (MicroStrategy, Tableau, ThoughtSpot), and relational databases.
- Programming proficiency in Python and SQL for data engineering, automation, and AI/ML pipelines.
- Strong understanding of AI/ML concepts, platform choices, model lifecycle/MLOps, and integration into enterprise data platforms.
- Knowledge of metadata, lineage, data quality, and governance tooling (Collibra DQ, SALT, Informatica EDC).
- Familiarity with distributed query engines (Starburst), Graph databases (TigerGraph), NoSQL (e.g., MongoDB), open table formats (Iceberg, Delta Lake), and data mesh principles.
Data Platform Engineering Strategy Lead in Bromley employer: TEKsystems
Contact Detail:
TEKsystems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineering Strategy Lead in Bromley
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering space and let them know you're on the lookout for opportunities. A friendly chat can lead to insider info about roles that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-native platforms or AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your hands-on experience with tools like Databricks and Kafka, and how you've driven cost optimisation in past roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your expertise. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Data Platform Engineering Strategy Lead in Bromley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data engineering and architecture, especially with cloud-native platforms like Databricks and Snowflake. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of projects where you've modernised or optimised data platforms. We love seeing measurable impacts, so don’t shy away from sharing numbers that demonstrate your success in scalability and cost efficiency.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your programming proficiency in Python and SQL. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at TEKsystems
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Databricks, Snowflake, and Kafka. Brush up on your Python and SQL skills, as you’ll likely be asked to demonstrate your programming proficiency during the interview.
✨Showcase Your Strategic Thinking
Prepare examples that highlight your experience in modernising and optimising data platforms. Think about how you’ve previously aligned architecture strategy with business goals, and be ready to discuss how you can bring that expertise to the role.
✨Understand the Bigger Picture
Familiarise yourself with the concepts of AI/ML and how they integrate into enterprise data platforms. Be prepared to discuss how you can champion data literacy and responsible technology adoption within the organisation.
✨Be Ready for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work with cross-functional teams. Prepare scenarios where you’ve defined reusable patterns or de-risked delivery, and think about how you can translate proofs of concept into production-grade solutions.
