Data Engineer - UK or Greece

Role: Data Engineer

Role type: Permanent

Location: UK or Greece

Preferred start date: ASAP

LIFE AT SATALIA

As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues.

Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia's ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated.

We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners. As a member of our team, you will work alongside world-class talent in an environment that not only fosters innovation but also 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.

• Collaborate closely with data scientists, architects, and other stakeholders to understand and implement business requirements.
• Provide data engineering support for AI model development and deployment, ensuring data scientists have access to the data they need in the format they need it.
• Implement and optimize data transformations and ETL/ELT processes, using appropriate data engineering tools.
• Work with a variety of databases and data warehousing solutions to store and retrieve data efficiently.
• Implement monitoring, troubleshooting, and maintenance procedures for data pipelines to ensure the high quality of data and optimize performance.
• Participate in the creation and ongoing maintenance of documentation, including data dictionaries, data catalogues, data flow diagrams, and process documentation.

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

• Benefits - enhanced pension, life assurance, income protection, private healthcare;
• Remote working - cafe, bedroom, beach - wherever works;
• Truly flexible working hours - school pick up, volunteering, gym;
• Generous Leave - 27 days holiday plus bank holidays and enhanced family leave;
• Annual bonus - when Satalia does well, we all do well;
• Impactful projects - focus on bringing meaningful social and environmental change;
• People oriented culture - wellbeing is a priority, as is being a nice person;
• Transparent and open culture - you will be heard;
• Development - focus on bringing the best out of each other;

Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you.

We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful.

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Good luck!