Data Engineer III
Posted 1 week ago by Trust In SODA
£300 Per day
Inside
Remote
England, United Kingdom
Summary: The role of Data Engineer III involves enhancing user satisfaction and customer support efficiency through the development of data-driven solutions within a leading Central Integrity & Support organization. The position requires collaboration with cross-functional teams to design and maintain data pipelines, dashboards, and metrics that directly influence support quality. This is a remote contract position based in the UK, with a duration of 3 months and the possibility of extension. The ideal candidate should have extensive experience in data engineering and a strong background in fast-paced tech environments.
Key Responsibilities:
- Design, build, and maintain scalable and efficient data pipelines and architectures.
- Collaborate with Data Scientists, Engineers, and Product Managers to define success metrics.
- Develop dashboards and data solutions that measure and improve customer support processes.
- Lead metric definition initiatives, including identifying data points, building visualisations, and enabling experimentation.
- Support ongoing projects such as improving knowledge management systems used by support agents.
- Handle ad-hoc requests including bug fixes, data pulls, and general analytics support.
Key Skills:
- Proven experience in SQL (5+ years) and Python (5+ years).
- Experience with data visualization tools such as Tableau or MicroStrategy.
- Familiarity with integration tools like Azure Data Factory or Airflow.
- Strong autonomous working capability with excellent cross-functional collaboration skills.
- Deep understanding of measuring success in customer experience or support-oriented products.
Salary (Rate): £300 daily
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Contract Data Engineer
Location: Remote in UK
Duration: 3 Months (Extension Possible)
Day Rate: up to £300 per day PAYE
Start Date: ASAP
Are you a seasoned Data Engineer with a passion for improving user experiences and driving measurable business outcomes? Join a leading Central Integrity & Support organisation working at the heart of high-touch AI-driven customer support for one of the world’s biggest tech ecosystems.
The Opportunity: We are seeking a Data Engineer to join a dynamic team focused on enhancing user satisfaction and customer support efficiency through robust, data-driven solutions. You'll be working across two core teams—one supporting customer communication tools and another optimising the tools used by agents to resolve queries. Your role will be crucial in defining and building metrics, dashboards, and data flows that directly impact support quality.
Key Responsibilities:
- Design, build, and maintain scalable and efficient data pipelines and architectures.
- Collaborate with Data Scientists, Engineers, and Product Managers to define success metrics.
- Develop dashboards and data solutions that measure and improve customer support processes.
- Lead metric definition initiatives, including identifying data points, building visualisations, and enabling experimentation.
- Support ongoing projects such as improving knowledge management systems used by support agents.
- Handle ad-hoc requests including bug fixes, data pulls, and general analytics support.
Key Technologies & Tools:
Languages: SQL (5+ years), Python (5+ years)
Data Visualization: Tableau, MicroStrategy (or similar)
Integration Tools: Azure Data Factory, Airflow (or similar)
Data Modelling & Pipeline Design
Ideal Candidate Background:
Proven experience working in fast-paced environments such as big tech, social media, or product-led companies (e.g., Spotify, Deliveroo). Strong autonomous working capability with excellent cross-functional collaboration skills. Deep understanding of how to measure success in customer experience or support-oriented products.
Apply now to become a key player in transforming customer support through intelligent data engineering. Let's build the future of support—measurable, scalable, and impactful.