At a Glance
- Tasks: Build and support modern data platforms in financial services, focusing on client delivery.
- Company: Join a dynamic team at a leading data engineering firm.
- Benefits: Competitive salary, performance bonuses, hybrid work, and comprehensive benefits.
- Other info: Enjoy continuous learning opportunities and a supportive work environment.
- Why this job: Make a real impact by solving complex data problems for clients.
- Qualifications: 2+ years in data engineering with experience in Databricks or Snowflake.
The predicted salary is between 60000 - 80000 £ per year.
About the role
We’re looking for a Data Engineer with 2+ years’ experience to join our growing data engineering capability.
This role is focused on client delivery.
You’ll work closely with client teams, alongside their internal engineers and Alpha consultants, to build and support modern data platforms in regulated financial services environments.
The work is hands‑on and delivery‑focused: building pipelines, developing data models, and helping turn business requirements into trusted, production‑ready data solutions.
This is a strong opportunity for an engineer who wants more than just pipeline delivery.
You’ll work directly with clients, solve real platform and data problems, and build experience across a range of delivery challenges in complex regulated environments.
What you'll do
- Build reliable ingestion pipelines that move client data from source systems into the platform efficiently and securely
- Develop data pipelines to agreed SLAs, with a focus on reliability in production
- Work with domain SMEs and delivery teams to translate business logic into pipeline logic that produces accurate, trusted outputs
- Design data models, including Data Vault 2.0 and Kimball dimensional models, that support auditability and trusted reporting
- Support testing, monitoring, troubleshooting, and documentation across the delivery lifecycle
- Contribute to engineering standards and delivery best practices as part of a wider team
- Work with the team to implement LLM‑based processing in pipelines where appropriate, alongside deterministic logic
- Work on delivery teams building AI‑enabled solutions on the platform, helping to apply trusted data to real client problems
- Share learnings from delivery work and contribute to internal assets, tooling, and practices over time.
- What you'll bring
- 2+ years in data engineering, including production experience with Databricks or
- Snowflake (one platform is sufficient)
- Strong SQL and Python; comfort with Py Spark or Snowpark
- Experience with at least one cloud vendor, Azure, AWS, or GCP, including familiarity with core services beyond the data platform itself (networking, IAM, storage)
- Working knowledge of dimensional modelling (Kimball) and/or Data Vault 2.0
- Strong attention to quality, documentation, and delivery discipline
- 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 some supporting tooling across areas such as infrastructure‑as‑code, transformation, Dev Ops, data quality, governance, or orchestration would be beneficial.
- Exposure to regulated environments such as financial services, insurance, or similarly audited sectors would be beneficial.
- What the engagement looks like
You’ll work within client teams, alongside their internal engineers and Alpha consultants in a regulated environment where change control, data lineage and documentation matter.
Expect a mix of independent build work and collaborative delivery, with regular touchpoints against a delivery plan.
What We Offer
- Competitive base salary
- 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.
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Data Engineer (Databricks / Snowflake) employer: Alphafmcroles
Alpha FMC is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets expertise. With a strong focus on employee growth, we provide comprehensive training and development programmes, competitive salaries, and a profit-sharing opportunity, ensuring our team members are well-equipped to lead high-profile technology due diligence engagements. Our collaborative culture fosters mentorship and knowledge sharing, making Alpha FMC a rewarding place for professionals looking to make a significant impact in the financial services sector.
