Lead Data Engineer
Architect scalable data solutions to support analytics, machine learning, and real-time financial applications.
Drive best practices for data engineering, ensuring high levels of data quality, governance, and security.
Collaborate with cross-functional teams to integrate data systems with wider product and engineering initiatives.
Mentor and guide junior engineers, fostering a culture of knowledge sharing and continuous improvement.
Evaluate and implement new technologies, tools, and frameworks to advance the company's data platform.Candidate Profile: Proven experience as a Data Engineer, with strong expertise in designing and managing large-scale data systems.
Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt.
Strong SQL skills and experience with cloud platforms (Azure preferred).
Solid programming background in Python, Scala, or Java.
Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift).
Strong understanding of data governance, security, and compliance (experience within financial services is a plus).
Leadership experience, with the ability to mentor, influence, and set technical direction.
Excellent communication skills and the ability to work effectively in a fast-paced, evolving environment.Compensation: £85,000 - £100,000 base salary + bonus
Hybrid working environment, with offices in central London.
The opportunity to play a pivotal role in shaping the data function of a rapidly growing FinTech.
Exposure to innovative projects and cutting-edge data technologies.
A collaborative, forward-thinking culture that values technical excellence.How to Apply If you're an experienced Lead Data Engineer ready to step into a leadership role and want to make an impact in the FinTech space, we'd love to hear from you. Please apply via LinkedIn or email your CV . Please note, sponsorship is not available for this position
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