Data Engineer (Career Propeller)
Role details
Job location
Tech stack
Requirements
as confidently as they build. You will have genuine autonomy, access to new technologies and the chance to shape how data platforms are designed and delivered. If you thrive in a collaborative, cross-functional environment where quality matters, this is worth a conversation. Key Responsibilities Design, build and maintain scalable data pipelines for a range of client environments Liaise directly with clients on data architecture, design and technical decisions Deliver high quality, best-practice data engineering solutions to specification Work across a range of data platforms, tools and frameworks as the project demands Recommend and implement new ideas, tooling and innovations Share knowledge and contribute to team learning Collaborate as part of dynamic, cross-functional delivery teams Produce clean, efficient, well-tested and well-documented code throughout What You'll Need Essential: 3+ years of data engineering experience building and maintaining data pipelines Hands-on experience with Python for data processing Strong SQL skills and experience with relational databases Experience with orchestration and transformation tools such as Airflow or dbt Comfortable manipulating and modelling complex datasets Based within commuting distance of Belfast city centre (3 days on-site required) Desirable: Experience working in a client-facing or consultancy environment Exposure to cloud data platforms (AWS, GCP or Azure) Why Apply? Competitive salary on offer Hybrid working model... 3 days in a modern Belfast city centre office Direct client exposure and genuine influence over technical decisions Access to new technologies and support to gain certifications High-performance, low-ego culture where quality is the standard Collaborative team environment with real knowledge sharing Exclusive role through Ocho People... not advertised elsewhere Next Steps Interested? Get in touch with Chanel at Ocho People to find out more or submit your CV. Skills: Python azure data SQL Benefits: Work From Home