Data Engineer

Randstad Digital UK; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a Data Engineer to join their team in London. This role involves building scalable data models and robust ETL pipelines to support financial education initiatives. You will collaborate with cross-functional teams to integrate data sources and ensure data quality. With a focus on innovation, this opportunity offers a chance to shape data strategies that empower professionals globally. If you're passionate about data and eager to contribute to transformative projects, this is the perfect role for you.

Qualifications

• 2+ years in data engineering or analysis roles.
• Experience with cloud-based data solutions preferred.

Responsibilities

• Design and implement scalable data models and pipelines.
• Collaborate with teams to translate business needs into data solutions.

Skills

Data Engineering

ETL Process Development

Data Modelling

Analytical Skills

Communication Skills

Education

Bachelor’s degree in Computer Science

Tools

Python

SQL

Tableau

Power BI

AWS

Job description

This range is provided by Randstad Digital UK. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Daily Rate: £240

Location: London | Hybrid (2–3 days onsite)

Initial Duration: 6 months (with potential for extension)

Are you a data-driven professional with a passion for building scalable, high-impact data solutions? This is a fantastic opportunity to join a global leader in financial education and play a key role in shaping data initiatives that support thousands of professionals around the world.

About the Company

Our client is a global leader in financial learning and professional development. Their solutions empower financial services professionals across areas such as Wealth and Investment Management, ESG, Credit, Investment Banking, and Data Analytics. At the core of their mission is helping individuals and organisations make better decisions through practical, scalable learning.

The Role

As a Data Engineer, you will be instrumental in building data models, engineering robust ETL pipelines, and creating data quality solutions. You’ll work closely with cross-functional teams to codify business rules, integrate structured and unstructured data sources, and support the broader innovation strategy.

Key Responsibilities

• Design and implement scalable data models and pipelines
• Extract, cleanse, and transform data from various sources
• Map structured and unstructured data to business models
• Develop and optimise ETL processes and data quality frameworks
• Collaborate with business teams to understand data flows and translate them into technical solutions
• Integrate with APIs for data acquisition and processing
• Apply Agile/Scrum principles in project delivery

Ideal Candidate Profile

• Experience: Minimum of 2 years in data engineering, systems analysis, or data analysis
• Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS
• Cloud: AWS (preferred), with working knowledge of cloud-based data solutions
• Nice to Have: Experience with graph databases, Hadoop/Spark, or enterprise data lake environments

What You’ll Bring

• Strong foundation in computer science principles (data structures, algorithms, etc.)
• Experience building enterprise-grade pipelines and data models
• Ability to interpret business requirements into robust, scalable data solutions
• Excellent analytical skills and attention to detail
• Strong communication skills, both technical and non-technical
• A self-starter attitude with the ability to prioritise and manage multiple tasks in a fast-paced environment

If you’re excited to contribute to the next generation of financial learning through data, and want to work with an organisation that’s transforming how global professionals grow and succeed—we’d love to hear from you.

Apply now to learn more.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Temporary

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting and Financial Services

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