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- Tasks: Lead the transformation of our data platform with innovative strategies and hands-on engineering.
- Company: Join a forward-thinking corporate banking team focused on data excellence.
- Benefits: Enjoy a competitive contract, hybrid work flexibility, and opportunities for professional growth.
- Why this job: Make a significant impact by modernising data solutions and championing responsible tech adoption.
- Qualifications: 10+ years in data engineering, strong cloud expertise, and programming skills in Python and SQL.
- Other info: Collaborative environment with a focus on AI/ML and data literacy.
The predicted salary is between 72000 - 108000 £ 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 (eg. MongoDB), open table formats (Iceberg, Delta Lake), and data mesh Principles.
Data Platform Engineering Strategy Lead in Bromley employer: Talentify
Contact Detail:
Talentify 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. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects, especially those involving cloud-native platforms and AI/ML. This gives potential employers a taste of what you can bring to the table.
✨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! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 role of Data Platform Engineering Strategy Lead. Highlight your experience in data engineering and architecture, especially with cloud-native platforms and AI/ML concepts. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about modernising data platforms and how your hands-on expertise can drive innovation. Let us know how you can champion data literacy and responsible tech adoption.
Showcase Relevant Projects: If you've worked on projects that involved scalable data solutions or cloud environments, make sure to mention them. We love seeing real-world examples of your impact, so don’t hold back on the details!
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 get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter team!
How to prepare for a job interview at Talentify
✨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 of how you've modernised and optimised data platforms in previous roles. Be ready to discuss your approach to architecture strategy and how you’ve implemented AI/ML solutions that align with enterprise governance and standards.
✨Demonstrate Collaboration Skills
This role involves partnering with various teams, so highlight your experience working in cross-functional environments. Share stories about how you’ve collaborated with platform teams or Agile Release Trains to deliver successful projects.
✨Champion Data Literacy
Since the role emphasises data literacy and responsible technology adoption, think about how you can convey your passion for these topics. Prepare to discuss how you’ve promoted data literacy within your teams or organisations in the past.
