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Data Engineer
I am working with a rapidly growing, category-defining technology company that is transforming how industrial organisations operate and compete through deep data integration, generative AI, and tailored enterprise workflows.
As part of their continued expansion, they are looking to bring on a Data Engineer to lead client delivery and embed their platform into global operations. This is a strategic, high-impact role where you will work directly with senior stakeholders to solve complex business challenges and drive measurable outcomes through data and AI.
You will join a collaborative, mission-driven team of elite technologists and business leaders, working at the intersection of cutting-edge technology and real-world impact.
As part of this role, you will be responsible for:
- Executing complex data integration projects using PySpark and distributed technologies
- Designing and implementing scalable generative AI workflows using modern AI infrastructure
- Collaborating with cross-functional teams to ensure successful delivery and adoption
- Driving continuous improvement and innovation across client engagements
To be successful in this role, you will have:
- Experience working in data engineering or data integration
- Strong technical skills in Python or PySpark
- Exposure to generative AI platforms or interest in building AI-powered workflows
- Ability to work closely with clients and lead delivery in fast-paced environments
- Exposure to Airflow, Databricks or DBT would be beneficial
Some of the package details include:
- Salary up to 75,000 per year
- Bonus and share options
- Vibrant central London office, working closely with the wider tech function (3 days in office, 2 from home)
This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss further.
