National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer – UK or Greece

Satalia (NPComplete)
London
1 week ago
Create job alert

Role: Data Engineer

Role type: Permanent

Location: UK or Greece

Preferred start date: ASAP

LIFE AT SATALIA

As an organization, we push the boundaries of data science, optimization, and artificial intelligence to solve the hardest problems in industry. Satalia is a community of individuals devoted to working on diverse and interesting projects that will challenge you and allow you to develop new skills, lead, and contribute to the community.

Our ambition is to become a decentralized organization of the future. Today, this involves developing tools and processes to automate manual repetitive tasks, with a focus on freedom, transparency, and trust.

We prioritize wellbeing and inclusivity, unpacking human behavior and addressing prejudice to ensure a safe and inviting environment.

THE ROLE

We are investing heavily in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large-scale, enterprise-grade solutions and delivering these innovations to our clients and WPP agency partners. As a team member, you will work alongside world-class talent in an environment that fosters innovation and personal growth. You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap. Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients.

YOUR RESPONSIBILITIES

  • Collaborate closely with data scientists, architects, and stakeholders to understand and implement business requirements.
  • Support AI model development and deployment by providing data engineering expertise, ensuring data scientists have access to the data they need in the required format.
  • Implement and optimize data transformations and ETL/ELT processes using appropriate tools.
  • Work with various databases and data warehousing solutions to store and retrieve data efficiently.
  • Monitor, troubleshoot, and maintain data pipelines to ensure high data quality and performance.
  • Create and maintain documentation, including data dictionaries, data catalogues, data flow diagrams, and process documentation.

MINIMUM QUALIFICATIONS / SKILLS

  • Proficiency in Python and SQL.
  • Experience with cloud platforms like AWS, GCP, or Azure, and big data technologies such as Hadoop or Spark.
  • Experience working with relational and NoSQL databases.
  • Strong knowledge of data structures, data modeling, and database schema design.
  • Experience supporting data science workloads with structured and unstructured data.
  • Familiarity with containerization technologies like Docker or Kubernetes.
  • Experience with data visualization tools such as Tableau or Power BI is a plus.

WE OFFER

  • Benefits: enhanced pension, life assurance, income protection, private healthcare.
  • Remote working: work from anywhere—café, bedroom, beach.
  • Flexible hours: accommodate school pick-up, volunteering, gym schedules.
  • Generous leave: 27 days holiday plus bank holidays and enhanced family leave.
  • Annual bonus: shared success when Satalia performs well.
  • Impactful projects: contribute to social and environmental change.
  • People-oriented culture: wellbeing and kindness are prioritized.
  • Transparent culture: your voice will be heard.
  • Development opportunities: grow and excel within the company.

Satalia values autonomy, inclusion, and warmth. If you're interested in joining a team of leading AI minds, we look forward to hearing from you.

We aim to respond within 2 weeks. If you haven't heard from us, your application was unsuccessful.

By applying, you consent to the collection and use of your information as outlined in ourSatalia Recruitment Privacy Policy.

Good luck!


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Lead Data Engineer

Senior Data Engineer

Data Engineer

Lead Data Engineer

Senior Data Engineer

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.