At a Glance
- Tasks: Tackle complex data challenges and lead a team of junior engineers.
- Company: Join Alpha Financial Markets Consulting, a top consultancy in the financial services sector.
- Benefits: Enjoy a competitive salary, hybrid work model, and comprehensive benefits package.
- Other info: Access to continuous learning and industry conferences for professional growth.
- Why this job: Make a real impact in a dynamic environment while advancing your career.
- Qualifications: Experience with Databricks/Snowflake and strong cloud vendor knowledge required.
London Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. We are a boutique management consulting firm that offers the world’s top industry players a competitive edge through our expertise and industry insight. Our team is of a uniquely high calibre and by focusing across the General Insurance.
Key Responsibilities:
- Comfort with PySpark or Snowpark.
- Strong experience with at least one cloud vendor, Azure, AWS, or GCP, including core services beyond the data platform itself (networking, IAM, storage).
- Working knowledge of dimensional modelling (Kimball) and/or Data Vault 2.0.
- Comfortable presenting technical decisions to non‑technical stakeholders.
- Track record of setting engineering standards and reviewing others’ code for quality, not just correctness.
- Comfortable leading or mentoring junior engineers on a delivery team, and taking ownership of technical decisions.
Additional Experience We’d Value:
- Snowflake or Databricks certifications.
- Familiarity with private markets data (fund administration, private equity/real estate, secondaries) or London Market insurance.
- Experience with supporting tooling such as IaC; Transformation (dbt); DevOps; Data Quality; Data Modelling; Data Glossary/Governance; iPaaS/ELT, Orchestration.
- Some exposure to regulated environments – financial services, insurance, or similarly audited sectors – and awareness of relevant regulatory frameworks including FCA SYSC, DORA, and MiFID II.
What the Engagement Looks Like:
You'll work closely with client teams, alongside their internal engineers and Alpha consultants in a regulated environment where change control, data lineage and documentation matter. You'll write code, typically tackling the most complex challenges, review code and data model decisions across the team, and take responsibility for a delivery workstream – planning it, running it, and leading the junior engineers working on it.
What We Offer:
- Annual performance bonus tied to individual and company outcomes.
- Comprehensive benefits package including private medical insurance, life assurance, and income protection.
- Hybrid working model with flexible arrangements to support work‑life balance.
- Generous pension scheme with enhanced employer contributions.
- Continuous learning budget and access to industry conferences, certifications, and training programmes.
- 25 days annual leave plus bank holidays, with option to buy additional days.
- Employee assistance programme and wellbeing support.
Senior Data Engineer (Databricks / Snowflake) employer: Alpha Financial Markets Consulting
Alpha FMC is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets expertise in financial services consulting. With a strong focus on employee growth, we provide comprehensive training and development programmes, competitive salaries, and a culture that encourages collaboration and mentorship. Join us to lead impactful technology due diligence engagements while enjoying a generous benefits package, including profit-sharing and extensive paid time off.
Contact Details:
Alpha Financial Markets Consulting Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Databricks / Snowflake)
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We think you need these skills to ace Senior Data Engineer (Databricks / Snowflake)
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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