Senior Data Engineer in Brighton

Senior Data Engineer in Brighton

Brighton Full-Time 65000 - 78000 £ / year (est.) Home office (partial)
Sovos Latinoamérica

At a Glance

  • Tasks: Build and maintain a world-class financial data platform with cutting-edge technology.
  • Company: Join Sovos, a global leader in tax compliance and innovation.
  • Benefits: Enjoy 30 days holiday, health insurance, and award-winning career development.
  • Other info: Diverse and inclusive workplace that values your unique contributions.
  • Why this job: Make a real impact on business decisions with high-visibility engineering work.
  • Qualifications: 5-8 years in data engineering with advanced SQL and dbt experience.

The predicted salary is between 65000 - 78000 £ per year.

Build your future with Sovos.

If you're seeking a career where innovation meets impact, you've come to the right place.

As a global leader, Sovos is transforming tax compliance from a business requirement to a force for growth while revolutionizing how businesses navigate the ever‑changing regulatory landscape.

At Sovos, we're dedicated to more than just solving compliance challenges -- we're committed to making a positive and lasting difference in everything we do.

Our teams operate on the modern edge of digital technology, working not only to solve complex business challenges but also to enrich our personal, professional, and local communities.

Our purpose‑built systems provide the tools you need to thrive in a world where governments demand increased visibility, faster reporting and greater control over business processes.

Excited about the possibilities?

So are we!

Don't worry if you don't check all the boxes -- apply anyway!

We're focused on hiring the right people, not just the \"right\" resume.

It's not about what you've done elsewhere; it's all about what you're capable of doing here.

The Work You'll Do

At Sovos, we're building a world‑class financial data platform to support a global tax compliance leader -- and the Senior Data Engineer is the foundation it all runs on.

In this role, you'll own the full pipeline stack: from ingestion through transformation, all the way to the finance‑trusted, close‑ready outputs that Financial Planning and Analysis (FP&A), Accounting, and leadership rely on to make critical decisions.

You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our topline data chain, and you'll be the person the team counts on when something needs to be fixed before close.

This isn't just plumbing -- it's high‑visibility, high‑ownership engineering work with a direct line to business impact.

You'll also play a key role in shaping how AI consumers interact with structured financial data, treating them as first‑class stakeholders alongside finance teams.

  • More Specifically, You Will
  • Design and build the Snowflake schema and dbt model architecture for the topline data chain: Billing, Annual Recurring Revenue (ARR), Deferred Revenue, Revenue Recognition (Rev Rec), and Close Pack
  • Deliver ingestion and transformation models with full test coverage and documentation across all assigned use cases
  • Own pipeline reliability through financial close -- monitor, alert on, and recover from failures; serve as the primary on‑call escalation point
  • Establish data quality standards, dbt testing conventions, and Snowflake governance patterns for the broader team
  • Partner with the Analytics Engineer on business‑layer model design to ensure technical outputs map accurately to finance requirements
  • Extend the dbt model layer to cover operating expenses (OPEX), cost of goods sold (COGS), commissions, and ASC 340-40 capitalized software as scope grows
  • Write dbt YAML documentation -- table descriptions, column definitions, and grain statements -- as a first‑class production deliverable, recognizing that documentation quality directly determines AI answer accuracy
  • Own row‑level security and model freshness SLAs for real‑time AI queries, treating AI consumers as first‑class stakeholders alongside finance
  • What We Need From You
  • 5-8 years of experience in data engineering, with a track record of building and maintaining production pipelines and dbt projects at scale
  • Advanced SQL skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi‑source financial queries
  • Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers
  • Snowflake proficiency: roles, warehouses, governance, masking policies, and row‑level security -- not just querying, but owning the environment
  • Experience supporting financial close cycles, including on‑call ownership of pipeline failures; understands what WD1 means and why it matters
  • Fluency in the revenue data chain (Billing, ARR, Deferred Revenue, Revenue Recognition, Close Pack) with the ability to engage finance stakeholders directly on data discrepancies
  • Strong communication skills: able to explain technical trade‑offs to non‑technical audiences and write documentation that finance analysts can use to validate outputs
  • Preferred: Experience integrating CRM/ERP systems (Net Suite, Salesforce, or similar) into a warehouse layer, including ELT patterns, API pagination, and incremental loads
  • Preferred: Python for pipeline scripting and orchestration
  • Preferred: Cloud infrastructure experience: Azure (App Service, Azure Active Directory (AD), Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals
  • Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data
  • Preferred: Background in B2B Saa S metrics: ARR, gross revenue retention (GRR), net revenue retention (NRR), churn, and deferred revenue
  • Preferred: Familiarity with data governance practices: PII handling, access control, and GDPR basics
  • Nice to Have: RAG architecture, hybrid retrieval strategies, or prompt engineering experience
  • Nice to Have: MLOps or ML pipeline experience
  • Nice to Have: Domain knowledge in compliance, tax technology, or e‑invoicing
  • Due to client contractual obligations, the successful candidate will be asked to clear a background check upon hire.

What Does Sovos Offer You?

The tools to enhance your life - because we want you to enjoy your life outside of work and inside!

  • 30 days holiday (plus 8 days Bank Holiday)
  • Health insurance
  • Dental insurance
  • Life insurance
  • Critical illness insurance
  • Income protection
  • Mental wellbeing support
  • Global Meeting Free Days
  • Award Winning Career Development and Training opportunities, and more!

Sovos is an equal opportunity employer committed to providing an environment that celebrates diversity and where equal employment opportunities are available to all applicants and employees.

We do not discriminate against race, color, religions, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic provided by law.

At Sovos, all employees are encouraged to bring their whole selves to work.

Company Background

Sovos is a global provider of tax, compliance and trust solutions and services that enable businesses to navigate an increasingly regulated world with true confidence.

Purpose‑built for always‑on compliance capabilities, our scalable IT‑driven solutions meet the demands of an evolving and complex global regulatory landscape.

Sovos' cloud‑based software platform provides an unparalleled level of integration with business applications and government compliance processes.

More than 100,000 customers in 100+ countries -- including half the Fortune 500 -- trust Sovos for their compliance needs.

Sovos annually processes more than three billion transactions across 19,000 global tax jurisdictions.

Bolstered by a robust partner program more than 400 strong, Sovos brings to bear an unrivaled global network for companies across industries and geographies.

Founded in 1979, Sovos has operations across the Americas and Europe, and is owned by Hg and TA Associates.

For more information visit http://www. sovos. com and follow us on Linked In and Twitter.

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Senior Data Engineer in Brighton employer: Sovos Latinoamérica

Sovos Latinoamérica is an exceptional employer, offering a dynamic work environment in Greater London where innovation meets collaboration. With a strong focus on employee growth, we provide extensive training and development opportunities alongside a competitive benefits package that includes comprehensive health insurance and generous holiday allowances. Join us to be part of a forward-thinking team dedicated to driving success in the Financial and Insurance sectors.

Sovos Latinoamérica

Contact Details:

Sovos Latinoamérica Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer in Brighton

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sovos Latinoamérica!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Sovos Latinoamérica.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sovos Latinoamérica.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer at Sovos Latinoamérica, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Engineer in Brighton

Data Engineering
Snowflake Architecture
dbt Model Development
SQL (CTEs, Window Functions, Performance Tuning)
Production Pipeline Management
Data Quality Standards
Financial Data Chain Fluency

Some tips for your application 🫡

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Sovos Latinoamérica, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sovos Latinoamérica. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Sovos Latinoamérica

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sovos Latinoamérica!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.