Data Engineer III

Trust In SODA
Newcastle upon Tyne, England
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Erin Associates South Yorkshire, United Kingdom
£55,000 – £60,000 pa

Data Engineer

Gold Group City of London, United Kingdom

Data Engineer

Consortium Professional Recruitment Hessle, United Kingdom

Data Engineer

SF Partners Manchester, United Kingdom

Data Engineer

VIQU Energy London, United Kingdom

Data Engineer

Big Red Recruitment Midlands Limited Huddersfield, HD1 2AA, United Kingdom
Posted
20 Jun 2025 (10 months ago)

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 aData Engineerto 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 nowto become a key player in transforming customer support through intelligent data engineering. Let's build the future of support—measurable, scalable, and impactful.














Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.