Data Engineer

🕒 May 8

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Satalia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

💰 Grant on 2016-02

Artificial Intelligence • B2B • Enterprise

Satalia is a company that leverages advanced technologies to optimize and improve various business operations. They provide a platform for cloud development and data-driven services, employing cloud architects and data scientists to deliver innovative solutions. Satalia operates remotely, with locations in Greece, London, Kaunas, and Vienna. They focus on integrating analytics and marketing strategies to enhance user experience and functionality on their platforms.

📋 Description

• 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

• 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 - café, 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