Remote Finance Data Engineer in Crawley

Remote Finance Data Engineer in Crawley

Crawley Temporary 50000 - 60000 £ / year (est.) Home office (partial)
Grabjobs

At a Glance

  • Tasks: Build scalable data solutions and maintain core data infrastructure for Finance & Treasury.
  • Company: Join Moneycorp, a leader in global payments with over 45 years of experience.
  • Benefits: Enjoy a competitive salary, private medical insurance, and a hybrid working model.
  • Other info: Be part of a diverse team committed to inclusion and professional growth.
  • Why this job: Make an impact by shaping modern finance systems and enhancing data capabilities.
  • Qualifications: Strong SQL skills and experience in data engineering or analysis are essential.

The predicted salary is between 50000 - 60000 £ per year.

  • Description
  • Position at Moneycorp

Please note: we are offering this position as a fixed term contract.

Who We Are

Moneycorp powers global payments for corporates, institutions and high net worth individuals, combining worldwide reach with local expertise.

With over 45 years of market experience, two banking licences and offices in 11 countries, our technology delivers 24/7 accessibility, while our people deliver award-winning service.

In 2024, we supported £79bn+ of international payments, reaching 190 countries in 130 currencies.

Our 32k+ corporate clients benefit from our regulatory resilience with 63+ permissions globally, access to major payment rails, and proprietary technology.

Moneycorp is a place where energy, commitment to our shared success, and collaboration are core to our values.

We're restless in our drive to surpass the expectations of our customers and unlock opportunities to support them at every stage of their journey.

The foundation of our success is our people, and nurturing a culture of belonging for all our colleagues is central to our journey as a global business.

Who You Are / Your Next Challenge

The Data Engineer plays a critical role in enabling Finance & Treasury to deliver accurate, timely, and insight‐driven reporting by building scalable data solutions, maintaining core data infrastructure, and supporting the modernisation of Finance systems.

This role is responsible for engineering robust data pipelines, managing datasets across the Microsoft Fabric platform, and ensuring Finance has reliable, consistent, and governed data to support transformation, automation, and improved operational efficiency.

As Finance undergoes significant change, the Data Engineer will be a key technical contributor—helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities.

  • Role Responsibilities
  • SQL, Data Extraction and Transformation
  • Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python‐based transformations to support scalable data pipelines and optimise performance across Lakehouse and Warehouse workloads.
  • Build and maintain reporting datasets optimised for analytics and visualisation, implementing Slowly Changing Dimension (SCD Type 2) logic to support historical reporting and data accuracy.
  • Ensure data security and integrity throughout the medallion architecture, enforcing access controls, auditing data changes, and ensuring accurate, consistent data is delivered
  • Develop and maintain Power BI semantic models and model layouts built on Microsoft Fabric Gold‐layer datasets, ensuring secure, performant, and well‐governed reporting models for dashboards and analytical consumption.
  • Support the onboarding of new data sources into Microsoft Fabric by working with Dev Ops teams on secure connectivity, API integrations, and operational ingestion processes.
  • Design and develop data pipelines and queries, for efficient data extraction and transformation.
  • Write and maintain production-level code to support lead management and Finance systems, ensuring scalability, performance, and reliability.
  • Development and maintenance of complex datasets needed for reports, dashboards, and visualisations.
  • Troubleshoot database-related issues.
  • Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies.
  • Conduct regular reviews of SQL code and queries for performance improvements
  • Ensure data security and integrity.
  • Stay updated with the latest database technologies and best practices.
  • Data Warehouse
  • Implement best practices for data modelling, ETL processes, and data integration.
  • Optimise data warehouse performance through efficient query design, indexing strategies, and data partitioning.
  • Stay updated on emerging trends and technologies in data management and analytics and evaluate their potential impact on our data warehouse architecture.
  • Finance System Infrastructure
  • Support configuration changes as needed to meet Finance & Business requirements.
  • Take ownership of upgrade processes including testing and configuration changes, ensuring the current system is fit for purpose for Finance users.
  • Facilitating with the implementation of the new functionality arising from the upgraded software.

What we're looking for

Essential

• Extensive SQL experience

  • Working with relational databases (e. g., SQL Server, Oracle, My SQL).
  • Strong proficiency in SQL, T-SQL and Spark SQL.
  • Proven background as a SQL Analyst / Developer or Data Engineer.
  • Experience working with structured and unstructured data sources.
  • Experience writing stored procedures and production‐level data transformation code.
  • Previous experience of working in a fast-paced environment
  • Knowledge of software development best practices.
  • Strong analytical mind, excellent attention to detail.
  • Good interpersonal and communication skills both written and verbal.
  • Good analytical abilities, with an enquiring mind.
  • Robust, capable of clearly and strongly articulating position.

Desirable

  • Hands‐on experience with Microsoft Fabric.
  • Advance development experience, most notably with programming languages such as python.
  • Power BI model development and semantic modelling.
  • API setup/testing experience (e. g., Postman).
  • Experience with cloud platforms and modern data architectures.
  • Experience within financial services or regulated environments.
  • Advanced Excel skills.

Education

  • Bachelor's degree in Computer Science, Information Systems, STEM, or related field.
  • Certifications in Python, Py Spark, or cloud technologies are desirable but not essential.

Please note: This is a full-time, fixed term contract with an opportunity to work in a hybrid working model within our Finance Transformation team based in our London office.

What you get in return

This role offers a competitive salary, plus a benefits package including private medical health insurance.

Interested?

If the role sounds like you, we invite you to upload a copy of your CV and can do this by clicking on the Apply Now button

For company news, announcements and market insights, visit our News Hub.

You can also find Moneycorp on Facebook, Twitter UK, Twitter Americas, Instagram, Linked In, where you can discover how we are leading the way in global payments and currency risk management.

Diversity and Inclusion

Moneycorp is proud to be an Equal Opportunity employer.

Across our Group, Moneycorp maintains a philosophy that an inclusive company culture inspires creativity, fosters a sense of belonging, and is imperative to both personal and professional growth.

With a makeup of 47 percent female employees, Moneycorp has a remarkably diverse workforce.

Our commitment to inclusion and opportunity continues to evolve and improve as we listen and engage with our diverse teams.

All qualified applicants will receive consideration for employment without regard to age, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, status as an individual with a physical or mental disability status as an individual with a protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Moneycorp believes that diversity is critical to our success in helping Corporate and Private Clients with their FX and International Payments requirements across the world and is committed to creating an inclusive, mutually respectful environment which celebrates diversity.

We hire on the basis of talent, merit, competence, performance, and business needs.

Grabjobs

Contact Details:

Grabjobs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Finance Data Engineer in Crawley

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We think you need these skills to ace Remote Finance Data Engineer in Crawley

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
API Integration

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Grabjobs, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Grabjobs, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Grabjobs’s attention and show the tangible impact of your work.

How to prepare for a job interview at Grabjobs

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Grabjobs.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Grabjobs.

Prepare a Portfolio of Your Work

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