Data Engineer III

Trust In SODA; England; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading organization is seeking a Contract Data Engineer to enhance user experiences through data-driven solutions. This remote role offers the opportunity to work on innovative projects while leveraging your expertise in SQL and Python, with a competitive day rate. Join a dynamic team focused on transforming customer support through intelligent data engineering.

Qualifications

• 5+ years experience with SQL and Python.
• Experience in fast-paced environments like big tech.
• Strong collaboration skills with cross-functional teams.

Responsibilities

• Design and maintain scalable data pipelines.
• Collaborate with teams to define success metrics.
• Develop dashboards to improve customer support.

Skills

SQL

Python

Collaboration

Data Visualization

Tools

Tableau

MicroStrategy

Azure Data Factory

Airflow

Job description

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Connecting top talent in tech to innovative organizations driving data-driven solutions and insights across the UK and EU @ Trust in Soda & Trinnovo…

Contract Data Engineer

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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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