Senior Data Engineer – Permanent Role – £100,000 – £110,000 + Excellent Bonus & Benefits
A prestigious mid-sized Investment Management firm, specialising in ETFs, is seeking a Senior Data Engineer to join their dynamic team in London. This hybrid role offers a blend of remote working and office presence, providing flexibility and a balanced work environment.
Why This Role Stands Out
As a Senior Data Engineer, you will have the chance to shape the future of investment strategies with cutting-edge data solutions. This role not only offers a competitive salary and excellent bonus but also provides an environment where innovation and professional growth are highly valued. You will have the opportunity to mentor junior engineers, making a significant impact on their careers while advancing your own.
Your Role
In this pivotal position, you will support the Data Engineering Lead in constructing robust, scalable, and secure data systems. You will take ownership of critical projects, ensuring seamless data flow and alignment with business goals. Collaboration across various teams will be key to your success, as will your ability to translate technical challenges into business solutions.
Key Responsibilities
- Develop a modern, scalable data architecture using tools like Snowflake, Databricks, and Spark.
- Drive innovation and improve scalability by integrating cutting-edge technologies into the data infrastructure.
- Mentor junior engineers, guiding them to master the modern data stack and uphold best practices.
- Collaborate with product, operations, and business strategy teams to streamline data delivery.
- Ensure data privacy, security, and compliance with regulatory standards.
What We’re Looking For
- Strong understanding of data architecture, ETL/ELT processes, and data warehousing technologies (e.g., SQL Server, Snowflake, Databricks).
- Experience with cloud platforms (AWS, Azure, or Google Cloud) and big data technologies (Spark, Hadoop, Kafka).
Technical Skills
- Expertise in SQL, Python (Pandas, NumPy), and data modelling.
- Experience with data pipeline orchestration tools (e.g., Airflow, DBT).
- Proficiency in version control using git and CI/CD pipelines.
- Ability to pick up SSIS, SSRS, and SSAS technologies for legacy tech migration.
- Familiarity with data governance and data catalogue tools (e.g., Secoda, Alation) is desirable.
If you are ready to take the next step in your career as a Data Engineer and find this role compelling, please apply to this vacancy. Abigail Fernandes will reach out to discuss further.
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