Data Engineer

IFX Ltd; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading company in financial solutions is seeking a Data Engineer to build a modern data platform. The role involves developing scalable data pipelines, managing cloud infrastructure on AWS, and collaborating with teams to ensure data governance and quality. This position offers opportunities for career growth and a supportive team environment.

Benefits

25 days of annual leave + bank holidays

Pension auto-enrolment

Healthcare cash plan

Discounts on fitness and entertainment

Life Insurance

Cycle to work scheme

Career progression with training

Company events

Qualifications

• Several years of experience in data engineering, preferably in financial services.
• Strong understanding of data engineering concepts and AWS services.

Responsibilities

• Design, build, and maintain scalable data pipelines for financial data.
• Leverage AWS services to develop robust cloud-based data infrastructure.
• Implement data governance policies and ensure compliance.

Skills

Python

SQL

Terraform

Version Control

Tools

AWS

GitHub

Job description

Data Engineer

Technology - London, London, City of (Hybrid)

About IFX Payments

We're an award-winning global provider of foreign exchange and payment solutions. At IFX, our mission is to become the number one service-led alternative banking partner in EMEA for corporates and Financial Institutions that add value beyond the transaction. We have one guiding principle: to
Win. Properly.

What we offer

Everyone at IFX Payments has a meaningful and impactful role to play in helping us achieve that goal. We take pride in the quality of our work but balance that with the speed, intent, tenacity, and focus needed to win. We're a high-performance team who can trust each other as individuals to get the job done so we can be successful together.

Being part of IFX Payments, you'll receive every opportunity to thrive in your role to contribute to that success. We'll invest in you along the way to genuinely help you grow and take your career to new and exciting places. You'll work alongside experienced industry leaders, receive guidance from pioneering performance coaches and have the option to gain qualifications in your field that help you realise your ambitions. In exchange, we don't expect anything extra from you during your time here. We only ask you to do one thing:
Make it count.

• 25 days of annual leave + bank holidays and your birthday off.
• Pension auto-enrolment with salary sacrifice contributions.
• Healthcare cash plan including support for dental, physio and therapies.
• Discounts on fitness, cinema discounts, shopping, travel, entertainment and more!
• Life Insurance.
• Cycle to work.
• Nursery fees salary exchange.
• Employee Assistant Programme
• Career progression with excellent training and development.
• Company events – Pub nights, sporting events, seasonal parties, socials

What's the role?

Job Title: Data Engineer

Team: Technology

Location: London

Overview of the role

IFX is going through major technological transformation and as a part of which, we are building a brand new modern data platform to enable centralised reporting for the business. We are looking for a passionate and driven data engineer who will work with Head of Data and Enterprise architecture to build data engineering process in AWS using modern tech stack.

Responsibilities

• Data Pipeline Development : Design, build, and maintain scalable data pipelines to ingest, process, and store large sets of financial data from various internal and external sources.
• Cloud Infrastructure Management : Leverage AWS services such as S3, Redshift, Lambda, Glue, and others to develop and maintain robust cloud-based data infrastructure.
• Automation : Use Terraform to automate infrastructure provisioning, deployment, and configuration, ensuring efficiency and repeatability in cloud environments.
• Database Design & Optimisation : Design and optimise complex SQL queries, and relational databases (e.g., Amazon Redshift, PostgreSQL, MySQL) to enable fast, efficient data retrieval and analytics.
• Data Transformation : Apply ETL/ELT processes to transform raw financial data into usable insights for business intelligence, reporting, and predictive analytics.
• Collaboration with Teams : Work closely with platform team, data analysts, and business teams to ensure that the data infrastructure supports organisational goals, enabling accurate reporting and decision-making.
• Version Control : Utilise GitHub for version control, ensuring proper code management and collaboration within a distributed engineering team.
• Automated Testing & Quality Assurance : Develop and implement automated testing processes to ensure the accuracy, security, and performance of data pipelines and integrations.
• Documentation & Best Practices : Maintain clear, well-organised documentation for all data engineering projects, including data pipeline processes, cloud infrastructure, and codebase.
• Data Governance & Security : Implement and enforce data governance policies and security practices, ensuring compliance with financial regulations and protecting sensitive financial data.
• Troubleshooting & Optimisation : Monitor and troubleshoot data pipeline performance, addressing bottlenecks or issues promptly to ensure smooth data flow and operation.

Requirements

• Several years of experience in data engineering, preferably in the financial services or similar regulated industries.
• Strong understanding of data engineering concepts, including data modelling, ETL/ELT processes, and data warehousing.
• Proven experience with AWS services (e.g., S3, Redshift, Lambda, ECS, ECR, SNS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud.

Technical Skills (must have):

• Python: Proficient in Python for developing custom ETL solutions, data processing, and integration with cloud platforms.
• Terraform: Experience with Terraform to manage infrastructure as code, ensuring scalable and repeatable cloud environment provisioning.
• SQL: Advanced proficiency in SQL for querying and optimising relational databases
• Version Control: Experience with GitHub for managing code, reviewing pull requests, and collaborating in a distributed team environment.
• Automated Testing: Familiarity with automated testing frameworks (e.g., PyTest, unittest) to ensure code reliability, accuracy, and performance.

Additional Skills:

• Strong understanding of data governance, data quality, and security best practices, particularly in financial and regulated environments.
• Excellent troubleshooting and debugging skills for data pipelines and cloud infrastructure.

Soft Skills:

• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Ability to work independently, as well as collaboratively, in an agile and fast-paced environment.
• Problem-solving mindset, with the ability to think critically and troubleshoot issues quickly.
• Detail-oriented with a passion for working with large datasets and delivering accurate, high-quality results.
• A true team player with a winning mentality and strong work ethic committed to continuous improvement and high performance .
  
• Adaptable, tenacious and flexible who is able to perform under pressure .
  

Diversity & Inclusion

We believe that diversity and inclusion are essential to our success. We are committed to fostering a culture where everyone feels valued and respected, regardless of their background,identity or experiences. By embracing diverse perspectives and promoting equity, we aim to create an environment where all employees can perform and reach their full potential.

Additional Information

- We work on a hybrid basis from our office in central London.
- You must be eligible to work in the UK to be considered for this position.
- Full background check will be carried out.

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