Data Engineer Permanent - UK or Greece or Lithuania
Role details
Job location
Tech stack
Job description
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.
Requirements
Do you have experience in Tableau?, * 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 & conditions
- Benefits - enhanced pension, life assurance, income protection, private healthcare;
- Remote working - café, bedroom, beach - wherever works;
- Truly flexible working hours - school pick up, volunteering, gym;
- Generous Leave - 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.