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Data Engineer

Intellect Group

Greater London

Hybrid

GBP 49,000 - 55,000

Full time

5 days ago

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Job summary

An established industry player is seeking a passionate Data Engineer to build robust data infrastructure and enable powerful analytics. In this dynamic role, you'll design and develop scalable data pipelines, ensuring data integrity and optimizing performance. Collaborate with various teams to create high-quality datasets and visualize insights using modern tools. With a focus on career progression and a flexible hybrid work environment, this position offers a unique opportunity to contribute to data-driven decision-making across the organization. If you're ready to make an impact, this is the role for you!

Benefits

Career progression opportunities

Flexible hybrid working

Innovative tech stack

Competitive compensation package

Qualifications

Up to 4 years of experience as a Data Engineer or similar role.
Strong experience with SQL, Python, and relational/NoSQL databases.

Responsibilities

Design, develop, and maintain scalable data pipelines and warehouses.
Collaborate with teams to understand data needs and deliver value.

Skills

SQL

Python

Data Modelling

ETL/ELT

Data Orchestration

Education

Bachelor's degree in Computer Science

Degree in Mathematics

Tools

Power BI

Azure

Docker

Kubernetes

dbt

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

Base pay range

Direct message the job poster from Intellect Group

Are you passionate about building robust data infrastructure and enabling powerful analytics? Join a fast-paced, collaborative environment where you’ll help shape the future of data-driven decision-making across the business.

We are looking for a Data Engineer with a solid foundation in cloud technologies, data pipelines, and modern data architecture to support large-scale data solutions that drive business intelligence and analytics across the organisation.

Your Responsibilities:

Build data infrastructure: Design, develop, and maintain scalable and reliable data pipelines, warehouses, and lakes.
Develop ETL/ELT workflows: Extract, transform, and load data from various systems to enable unified, high-quality datasets.
Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data needs and deliver value.
Ensure data integrity: Implement quality checks, validation processes, and monitoring for high data reliability.
Enhance performance: Optimise database queries and data workflows for speed and efficiency.
Visualise insights: Build reports and dashboards in Power BI to support key business decisions.
Champion best practices: Ensure data governance, security, and compliance standards are met.
Stay current: Keep up with the latest trends in data engineering, cloud, and analytics tools.

Requirements:

Bachelor’s degree in Computer Science, Data Engineering, IT, Mathematics, or a related field.
Up to 4 years of experience as a Data Engineer or similar role (e.g., Software Engineer).
Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB).
Familiarity with cloud platforms (preferably Azure).
Experience with ETL/ELT frameworks and tools such as dbt.
Proficiency in data orchestration tools like Dagster or similar.
Understanding of data modelling, warehousing, and architecture best practices.
Experience using Power BI or similar tools for visualisation.
Bonus: Familiarity with containerisation tools such as Docker and Kubernetes.

It’s A Bonus If You Have:

Experience working in insurance, finance, or other data-heavy industries.
A proactive, problem-solving mindset with a collaborative approach.
An eye for detail and a passion for optimising data performance.

The Benefits:

Career progression: Join a growing team with opportunities to advance and grow your skills.
Innovative tech stack: Work with modern data tools and contribute to a forward-thinking infrastructure.
Flexible hybrid working: Enjoy the balance of office collaboration and remote flexibility.
Competitive compensation: A salary package that recognises your experience and potential.

If you’re a motivated Data Engineer ready to take the next step in your career and build impactful data solutions, we want to hear from you. Apply now to be part of a team transforming data into business value.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology and Engineering
Industries
Insurance and Financial Services

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