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Datatech

Data Engineer

Datatech Soho
32 - 40 hour


Show Recently closed jobs

    Datatech

    Data Engineer

    Datatech Soho
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Data Engineer - London - Hybrid (Monday-Thursday in the office, Friday WFH) - Competitive Salary DOE - J13162

    Currently working with the UK's largest independent media agency to recruit an experienced Data Engineer to join their award-winning Insight, Analytics & Data team. This is an exciting opportunity to work with one of the industry's most respected agencies, helping to build cutting-edge cloud-based data solutions that enable clients to maximise the value of their marketing and customer data.

    You'll play a key role within a specialist Data & Tech Solutions team, designing and maintaining scalable data pipelines, integrating data from multiple marketing platforms, and delivering high-quality data solutions that power reporting, campaign activation and business insights. This is a fantastic opportunity for someone who enjoys working at the intersection of data engineering, cloud technologies and marketing technology.

    Key Responsibilities

    • Design, build and maintain cloud-based data solutions using Google Cloud Platform (with exposure to AWS and Azure).
    • Develop and manage ELT pipelines to ensure accurate, reliable and timely data delivery across multiple client projects.
    • Integrate data from advertising platforms, analytics platforms, Salesforce Marketing Cloud, Salesforce CRM and other third-party systems.
    • Build scalable data models and databases using Google BigQuery.
    • Support the delivery of best-in-class reporting and visualisation solutions using Looker or similar BI tools.
    • Manage client data integrations, ensuring correct platform access, validation and documentation throughout delivery.
    • Configure and work with APIs to integrate multiple marketing and business data sources.
    • Collaborate with internal teams, external partners and clients to deliver innovative data-driven marketing solutions.
    • Support AI-driven transformation initiatives and future-facing data projects across the agency.
    • Ensure data quality, troubleshoot issues and continuously improve existing engineering processes and workflows.

    Required Skills

    • Commercial experience in a Data Engineering or Data Developer role.
    • Strong SQL and Python programming skills.
    • Hands-on experience with Google BigQuery and Google Cloud Platform.
    • Experience implementing cloud-based data solutions.
    • Experience integrating Salesforce Marketing Cloud and Salesforce CRM data.
    • Understanding of marketing platforms, campaign metrics and digital marketing KPIs.
    • Experience building and maintaining ELT/ETL pipelines.
    • Knowledge of APIs and integrating third-party data sources.
    • Experience with Looker, Tableau or Power BI.
    • Understanding of the AdTech/MarTech landscape.
    • Excellent stakeholder management, communication and project management skills.
    • Strong organisational skills with excellent attention to detail and the ability to manage multiple projects simultaneously.

    If this sounds like the opportunity for you, then please apply today!

    Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have someone who would be interested in this role, refer them to us. For every relevant candidate we successfully place, you'll be eligible for our referral reward scheme.

    Datatech is one of the UK's leading recruitment agencies specialising in Data, Analytics, AI and Technology recruitment and is the host of the critically acclaimed Women in Data® initiative. For more information, visit our website: (url removed)
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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