Senior Data Architect

TGS International Group
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect

Senior Data Architect

Senior Data Engineer - Azure, BI & Data Strategy

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Get AI-powered advice on this job and more exclusive features.

TGS International Group provided pay range

This range is provided by TGS International Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from TGS International Group

A fast-growing, digitally transformed business is seeking a founding member of their data team to build and implement the infrastructure that will support their continued growth and success.

Over the past two years, this organisation has adopted a wide range of cloud-based systems across finance, operations, project management, and sales. The next step is connecting those systems to create powerful, strategic insights that drive the business forward.

They’re now looking for an experienced candidate to architect the pipelines and reporting structures that bring this vision to life. Working directly with senior leadership, you’ll have the opportunity to shape the data function from the ground up, with a clear path to building and leading your own team in the future.

Key Responsibilities

  • Design and implement scalable data pipelines across multiple platforms (ERP, CRM, project management tools, etc.)
  • Develop and maintain ETL/ELT processes to unify cross-functional datasets.
  • Build foundational datasets and collaborate with senior leadership to define data architecture.
  • Design for future scalability and cloud warehouse implementation

Data Visualisation & Storytelling (25%)

  • Build dynamic dashboards and reports using Power BI.
  • Work with business operations to translate data into strategic narratives.
  • Contribute to the long-term business intelligence roadmap.

Data Governance & Best Practices (15%)

  • Define and uphold data quality, security, and governance standards.
  • Collaborate with teams to establish KPIs and core business metrics.
  • Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities.
  • Stay current with evolving trends in data engineering and BI.

What They’re Looking For

Technical Experience

  • 7+ years’ experience across data engineering, analytics, or data science.
  • 5+ years of strong SQL/data modelling experience.
  • Expertise building ETL/ELT pipelines across cloud-based platforms.
  • Advanced Power BI skills and a deep understanding of scalable architecture.
  • Familiarity with CRM/ERP systems (e.g., Salesforce, Netsuite, or similar).
  • Strong grasp of data governance, quality assurance, and security best practices.
  • Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow.
  • Ability to communicate technical insights clearly to non-technical audiences.
  • Experience partnering with leadership and cross-functional teams.

Mindset & Growth

  • A proactive self-starter who thrives on ownership and autonomy.
  • Comfortable building from scratch and growing with the business.
  • Experience working in project-based, construction, or manufacturing environments.
  • Exposure to large-scale enterprise data systems and integrations.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionDesign, Information Technology, and Engineering
  • IndustriesIT System Data Services, Data Infrastructure and Analytics, and IT System Design Services

Referrals increase your chances of interviewing at TGS International Group by 2x

Get notified about new Senior Data Architect jobs in London Area, United Kingdom.

Data Architect and Governance lead / Head of Data

London Area, United Kingdom £115,000.00-£125,000.00 23 hours ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

Senior Data & Analytics Solutions Architect

London, England, United Kingdom 1 day ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 months ago

Birmingham, England, United Kingdom £100,000.00-£130,000.00 5 hours ago

Lead Data & Technology Architect - Enterprise Data PlatformData Architect - 18 month FTC London/Hybrid - Up to £74kSolution Architect, Advisory, Insights & DataContract Data Architect (Modelling) - FS - London (Hybrid) - £600pd Outside IR35Big Data Architect (Open source contributor)

London, England, United Kingdom 5 days ago

Greater London, England, United Kingdom 2 weeks ago

London Area, United Kingdom £140,000.00-£160,000.00 4 hours ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 1 week ago

Isleworth, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.