Full time Location: Remote within Lithuania or Greece ASAP 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 Wunderman Thompson 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. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. 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 and professional growth. We are hiring across all experience levels in data science, from entry-level to seasoned professionals, and offer competitive salaries commensurate with experience and skills It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. 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 catalogs, data flow diagrams, and process documentation. Proficiency with 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. Experience with data visualization tools, such as Tableau or Power BI is a plus. If you feel like you don’t tick all our boxes but know you’d make a fantastic Data Engineer at Satalia, please do apply! As an equal opportunity employer we welcome applications that reflect the diversity of our wider community. Remote working - from within the UK or Greece; Benefits - health insurance, income protection, life assurance, enhanced pension; Extra paid holiday time - in total 25 days per year Extra Health insurance - after probation period. Impactful projects - focus on bringing meaningful social and environmental change; Truly flexible working hours - school pick up, volunteering, gym; By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy .