Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer - Snowflake/Adobe...

The Change Partners - Global talent specialists for a connected world
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Job Description The Change Partners are currently
working with an iconic and global tier-1 Brand who are looking to
bring in a Senior Data Engineer. The Senior Data Engineer will be
responsible for integration and wider platform operations across
Snowflake, Adobe Experience Platform and Segmentation. Key
responsibilities: - Own and implement new data cleanroom platforms.

  • Develop infrastructure, requirements and dependencies for data
    platform integration. - Define the transfer of optimal data and
    storage within Snowflake. - Ensure smooth operations of cleanroom
    platforms (managing, enhancement and support) to align with
    Snowflake CRM Campaigns. - Activate platform features and capture
    customer data for campaign delivery. - Stakeholder management to
    ensure controls and processes are in place. - Develop documentation
    and process workflows across Uk and European businesses. -
    Extraction of data, validity and integrity checks. - Develop and
    maintain data pipelines from databases to data cleanroom
    environments. Your background: - At least 5 years of experience
    within data: engineering, integration and/or platform management. -
    Hands-on experience with Adobe Experience Platform/CDP, Snowflake
    and Customer/Audience Segmentation. - Strong experience with data
    cleanroom architecture and cloud ETL tools. - Worked with data
    modelling, SQL and Python previously. - Able to lead on security
    assessments. Please apply for further information.

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.