Senior Data Engineer

Senior Data Engineer

Full-Time 48000 - 72000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the build-out of a cutting-edge data centre and design robust ETL pipelines.
  • Company: Join EC Markets, a leader in financial technology innovation.
  • Benefits: Competitive salary, career growth, and a dynamic work environment.
  • Other info: Opportunity to grow into a Head of Data role.
  • Why this job: Make a significant impact at the intersection of tech and finance.
  • Qualifications: 5-8 years in data engineering with strong cloud and programming skills.

The predicted salary is between 48000 - 72000 £ per year.

EC Markets is building a state-of-the-art in-house data centre to power our trading, operational, and marketing intelligence.

We are seeking a Senior Data Engineer to lead the technical build-out of this initiative — from designing ETL pipelines to creating a secure, scalable data warehouse that underpins business-critical reporting and analytics. This is a high-impact role at the intersection of technology and financial insight, ideal for a senior professional with deep data engineering capabilities and proven experience supporting financial or trading-driven organisations, willing to grow into a Head of Data.

Responsibilities

  • Design, develop, and deploy a robust data infrastructure leveraging cloud-based services (AWS).
  • Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse.
  • Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue).
  • Work closely with data analysts to enable operational/regulatory reporting and data insights/visualisation.

Data Governance & Quality

  • Define and enforce data standards, quality assurance processes, and documentation across systems.
  • Ensure system scalability, performance, and data privacy/security align with compliance and business requirements.

Cross-Functional Collaboration

  • Partner closely with trading, finance, marketing, and management teams to map data requirements and deliver analytics-ready structures.
  • Translate business objectives into technical roadmaps and actionable engineering tasks.
  • Lead the technical implementation while coordinating with external vendors or internal IT teams as needed.

Key Objectives for the first six months

  • Define the core data architecture and choice of toolset.
  • Establish a secure and automated data development cycle.
  • Build foundational ETL pipelines.

Project Ownership

  • Drive the full lifecycle of the data centre project, establishing foundations for downstream reporting and BI functions.
  • Support future integration of a dedicated Data & Reporting Analyst role, planned for the following year.
  • Own data privacy and security aspects from a technology standpoint.

Qualifications

  • Degree in Computer Science, Data Engineering, or a related quantitative field.
  • 5–8 years of experience in data engineering or infrastructure development.
  • Experience in the financial services or fintech sector is highly desirable.

Required Skills

  • Hands-on experience designing and implementing ETL pipelines and data lake/warehouses in cloud environments.
  • Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent).
  • Strong programming and data manipulation skills (Python, SQL).
  • Solid background in financial reporting, trading data, or analytics within financial markets.
  • Proven ability to manage complex, end-to-end data projects and collaborate cross-functionally across business units.
  • Strong communication skills with the ability to bridge technical execution and business strategy.

Preferred Skills

  • Experience in the financial services or fintech sector is highly desirable.

Senior Data Engineer employer: EC Markets UK

As a Product Manager at our firm, you will be part of a dynamic and innovative team that values collaboration and creativity. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and mentorship from experienced leaders. Located in a vibrant area, our company provides unique advantages such as flexible working arrangements and a commitment to maintaining a healthy work-life balance, making it an excellent employer for those seeking meaningful and rewarding careers.

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Contact Details:

EC Markets UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer

Tip Number 1

Network like a pro! Reach out to your connections in the financial services or fintech sector. Attend industry meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving ETL pipelines and cloud services like AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data governance, quality assurance, and cross-functional collaboration. Practice common interview questions and think about how your past experiences align with the role.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your relevant experience in data engineering and your passion for the financial sector. Let’s get you that dream job!

We think you need these skills to ace Senior Data Engineer

ETL Pipeline Design and Implementation
Data Lakehouse Development
Cloud Services (AWS, Azure)
Databricks
AWS Glue
Redshift
S3 Data Lakes

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with ETL pipelines, cloud services like AWS, and any relevant projects in financial services. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our state-of-the-art data centre. Be sure to mention specific experiences that relate to the job description.

Showcase Your Technical Skills:In your application, don't forget to showcase your technical skills. Mention your hands-on experience with tools like Databricks, Redshift, and your programming prowess in Python and SQL. We love seeing candidates who can hit the ground running!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at EC Markets UK

Know Your Data Tools

Make sure you brush up on your knowledge of cloud-based services like AWS, Databricks, and Redshift. Be ready to discuss how you've used these tools in past projects, especially in building ETL pipelines or data warehouses.

Showcase Your Project Management Skills

Prepare to talk about your experience managing complex data projects. Highlight specific examples where you led a project from start to finish, focusing on how you collaborated with different teams to meet business objectives.

Understand the Financial Context

Since this role is in a financial environment, it’s crucial to demonstrate your understanding of financial data and reporting. Brush up on key concepts in trading and finance, and be ready to explain how your technical skills can support these areas.

Communicate Clearly

Strong communication is key in this role. Practice explaining technical concepts in simple terms, as you'll need to bridge the gap between technical execution and business strategy. Think of examples where you successfully communicated complex ideas to non-technical stakeholders.