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Novatus

Senior Data Engineer

London
Posted 3 months ago
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Senior Data Engineer

Job Overview

As a Senior Data Engineer, you will be developing our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable, and well-tested code that follows best practices.

As a senior member of the team, you will provide technical leadership and mentorship to colleagues.

You’ll join at a critical stage as we modernise our data infrastructure, migrating from Python scripts and MySQL to Databricks and Snowflake. Our systems power regulatory reporting for major financial institutions, requiring precision, traceability, and reliability.

Key Responsibilities

  • Design and evolve our configuration-driven data framework in Databricks and Snowflake warehouse.
  • Mentor junior team members, fostering growth through technical leadership.
  • Design, build, and optimise data pipelines using Databricks, Kafka, Python, and PySpark.
  • Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments.
  • Implement robust data quality controls including testing, validation, monitoring, and alerting.
  • Drive performance optimisation across Spark and Snowflake workloads.
  • Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs.
  • Contribute to the continuous improvement of development processes and tools.

About You

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Must-Haves

  • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments using Python and PySpark.
  • Ability to write and optimise complex SQL queries on large datasets.
  • Strong expertise in data modelling and warehouse design.
  • Strong software engineering fundamentals, including clean code, automated testing, CI/CD, observability.
  • Experience with modern cloud data platforms and orchestration tools.
  • Comfortable translating complex regulatory requirements into technical specifications.
  • Ability to work autonomously with high accountability for systems built and maintained.

Nice-to-Haves

  • Experience with Kafka or other event streaming platforms.
  • Hands-on AWS cloud infrastructure experience.
  • Experience building new data platforms or modernising legacy systems.
  • FinTech, RegTech, or financial services background.

Why Join Us?

Work Across Disciplines

  • Engage across diverse areas, broadening your skill set.

Solve Problems that Matter

  • Contribute to high-impact challenges central to our business.

Flat, Visible, Collaborative Culture

  • Collaborate directly with senior leaders and specialists.
  • Visibility into work ensures your contributions are recognised.

A Place for Builders

  • Ideal for driven individuals who enjoy driving results and taking ownership.

Perks & Benefits

  • Private Medical Insurance (AXA) – covering mental health, dental, vision, and private GP access.
  • Life Insurance – 4× salary (via Unum).
  • Unum’s Help@Hand – GP access, medical second opinions, physiotherapy, lifestyle coaching, savings & discounts, mental health support, bereavement counselling, and cancer support for you, your partner, and children.
  • Salary sacrifice childcare/nursery scheme (via YellowNest).
  • Employee Assistance Programme.
  • Enhanced parental leave (maternity & paternity).
  • Professional qualification sponsorship.
  • Accelerated career progression based on readiness and performance.
  • Increasing holiday entitlement with tenure.
  • Flexible hours with core collaboration periods.
  • Paid volunteering leave.
  • Gym and fitness discounts.
  • Bi-annual socials.
  • Office snacks and drinks.
  • Interest-based working groups for innovation.

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Novatus’ Equal Opportunities Statement

Novatus is an Equal Opportunity Employer. Employment decisions are made based on business needs, role requirements, and qualifications, without regard to race, age, religion, sex, sexual orientation, gender identity, marital status, disability, or other protected characteristics under the Equality Act 2010.

We foster a workplace culture that is inclusive, respectful, and supportive. All recruitment, compensation, professional development, and promotion processes are designed to ensure fairness and consistency.

Reasonable adjustments are available throughout the application and interview process. Candidates are encouraged to contact Human Resources should they have any specific requirements.

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Skills

Python
PySpark
Databricks
Snowflake
SQL
Kafka
Data Modeling
CI/CD
Data Pipeline Design
Software Engineering
Observability
Automated Testing

Location

London, England, United Kingdom

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