Role: Junior Data Engineer
Location: Bristol, UK with Hybrid ( 2 Days Onsite a Week)
Role Type: Permanent /Full time Job
Salary: Depends on Experience
Role Summary:
As a Junior Data Engineer, you’ll help design, build and maintain data pipelines and platforms that enable our clients to unlock the value in their data.
Are you comfortable working in an ambiguous environment, where you build strong working relationships, and use data to understand client problems?
Are you inquisitive and comfortable with questioning and challenge constructively?
Sometimes you’ll work with experienced engineers and data scientists to deliver high-quality, secure, and scalable data solutions — gaining exposure to multiple cloud platforms (AWS, Azure, OCI, GCP) and technologies such as Palantir Foundry, Databricks, Spark, and Airflow. Other times you will be working directly with the client, using your analytical and data skills to support their decision-making.
You don’t need to be an expert in everything — we’ll give you the support, training, and mentoring to build your technical depth over time. What matters most is your enthusiasm for data engineering, curiosity to learn new tools, and ability to think critically about how data can solve real-world problems.
Key Responsibilities:
* Develop and maintain data pipelines for ingesting, transforming, and modelling structured and unstructured data.
* Work across cloud platforms (AWS, Azure, OCI, GCP) and Palantir Foundry environments to deliver and maintain robust data solutions.
* Support data modelling and warehousing activities using best practices in schema design and data governance.
* Contribute to ETL/ELT development, testing, and automation using tools such as Python, SQL, Airflow, or Azure Data Factory.
* Collaborate closely with analysts, scientists, and architects to ensure data solutions meet business needs.
* Participate in Agile delivery teams, including sprint planning, code reviews, and show-and-tells.
* Learn and apply DevOps and CI/CD principles to improve data deployment and reliability.
* Document work clearly and share knowledge with your team.
Essential Skills & Experience:
* Interest and demonstrable experience in a data engineering, data analytics, or related technical capability. This could be previous employment, work experience or self-study and personal projects.
* Understanding of data fundamentals — including data pipelines, data modelling, and data quality principles.
* Awareness and experience working with different types of data.
* Experience with SQL and familiarity using Python for data transformation and automation.
* Hands-on experience (or strong interest) in one or more cloud platforms: AWS, Azure, or GCP.
* Interest in working with Palantir Foundry or similar enterprise data platforms.
* Good communication skills and ability to work as part of a multi-disciplinary, Agile team, and as an embedded team member in a customer environment.
* Eligible for UK Security Clearance (or 5+ years UK residency.
Desirable Skills & Exposure
* Familiarity with data lakes, warehouses, or streaming architectures (e.g. Databricks, Spark, Kafka).
* Experience with ETL tools, orchestration frameworks, or automation pipelines.
* Understanding of version control and CI/CD (e.g. GitHub, Azure DevOps).
* Awareness of data governance, lineage, and cataloguing tools.
* Curiosity to explore infrastructure as code, containerisation (Docker/Kubernetes), or data observability tools