Company: A successful Spanish tech innovator, a product company that provides quality B2B custom SaaS solutions within the Telecom sector globally. It promotes innovative solutions, modern technologies, progressive approaches, and functionality when taking on large scale technical challenges. The company is known for its cutting-edge SaaS, Cloud, telco, data, analytics, and networking solutions, that make a real difference in countless telecom businesses` modernization. Its successful operation has generated substantial growth stability and strong financial background. Its innovative solutions have been attracting financial investors that also contributes to steady long-term growth. It has a clear vision, a transparent and well-communicated strategy and roadmaps that help each member of the team achieve both their mission and their potential.

Data is in the very core of the company, they are market leaders in both quality and amount of data managed, and everyone in R&D shares a great passion for data science and engineering.

Team: You will work with a team of knowledgeable and experienced software specialists. There is a strong level of knowledge sharing as part of the company culture, and a high level of cooperation between R&D and other teams. The leadership is supportive and promotes self-development and individual professional progression of each member of the team. The total team is about 40 people and long average employment period and there are lots of opportunities for quick progression. The R&D team consists of strong data team, 4 knowledgeable engineers, several scientists and analysts; the core web development team has 4 specialists, both front and back-end, and work with a collaboration with the BI team, and the android development team. People in your team enjoy collaborating with each other, thrive in a team-oriented environment. They are all proactive and have the freedom to implement solutions to tackle technical problems.

Responsibilities: As an experienced Data Engineer, you will be focusing on data architecture design, optimization and automation of processes and ETLs, maintaining of the data life cycle, testing, monitoring performance, researching and innovating new technologies and solutions. You will work with modern technologies and tools, Python and its libraries, distributed environments, PySpark, you will utilize ML models in Big Data environments, work with geospatial data, ETL development in an AWS environment, Docker, cloud technologies, BigQuery, Google Cloud, Amazon cloud, DynamoDB, NoSQL, large databases, You will be expected to propose and develop solutions and ideas in an alignment with the business objectives.

What`s in it for you: Salary based on experience, remote flexibility. You are also encouraged to learn and grow and attend relevant technology conferences. Enjoy a high level of trust and work life balance that comes with challenging responsibilities, learning opportunities and room for your career growth. If you like working with Big Data, this place will constantly challenge you and satisfy your ambitions on the long term.