Are you a Data Engineer who loves to experiment and brings empathy and creativity to your work?Then you’ll fit right in at this people-first, agile tech company. Where collaboration, creativity and a shared commitment to a continuous improvement drives it’s success.Guided by core values – Empathise, Enable, Empower, and Experiment – they aim to create a supportive and inclusive workplace where every team member has the power to shape it’s culture.Ready to join?The RoleLocation: Remote (with optional monthly social events)As a Data Engineer, you’ll play a crucial role in building and maintaining data infrastructure, ensuring data integrity, accuracy, and availability for strategic insights. Reporting to the Head of Engineering, you'll support critical databases, develop robust data pipelines, and enable reliable reporting and machine learning integration to drive strategic insights.Key Responsibilities

ETL Pipeline Management: Develop and optimise ETL processes to keep data up-to-date and accurate.
Data Integrity: Ensure high standards of data accuracy and availability across databases.
Database Support: Oversee MySQL, Redshift, and SingleStore databases for performance and scalability.
Reporting Services: Support tools like Excel and QuickSight to ensure accurate data delivery for stakeholders.
Machine Learning Models: Work closely with data scientists to integrate models with data pipelines.
Data Distribution: Manage data flows across internal systems and external partners.
Migration Projects: Contribute to transitioning ETL and data systems from legacy platforms to SingleStore and dbt.

Does our tech stack align with your expertise?Backend: Java Spring/Spring Boot, MySQL, DynamoDB, AWS, DockerETL/Warehouse: Talend, dbt/meltano, Stitch, Redshift, QuickSight, ExcelDatabases: RDS MySQL (migrating to SingleStore)Why apply to this Data Engineer role?Joining this team means you’re not just getting a job – you’re becoming part of a culture that values and supports you, both personally and professionally. Here’s what you can expect:

Generous Holiday Allowance: Start with 25 days of holiday, plus an extra day for every year you’re with us (up to 30 days). Take the time you need to recharge and live life fully outside of work.
A Culture You Help Shape: You’ll be part of an inclusive environment where each team member has a voice. Participate in companywide events, roundtables, and culture clubs, and enjoy surprise delights that make every workday memorable.
Top-Tier Health Benefits: Your health matters. Enjoy market-leading private medical insurance, regardless of your medical history, plus virtual GP services (Babylon) and comprehensive mental health support.
Learning and Development on Your Terms: You’ll receive a personal L&D allowance through Learnerbly, so you can take charge of your growth. Whether you want to learn something new, sharpen your skills, or explore new areas.
Flexibility to Work Your Way: Enjoy the freedom of a fully remote role, giving you the flexibility to work where you thrive best. And if you’re in the mood for some face-to-face connection, join monthly social events at the London office.

This company is committed to diversity and inclusion, welcoming applicants of all backgrounds to help build an inclusive environment for everyone.If you're excited by data, modern technology, and a culture of empowerment, apply now!Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.

Data Engineer

Data Architect

Principal Data Architect

Data Architect