**Company Description** Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. As a Data Engineer, you will be responsible for designing, developing and maintaining our pipelines to ingest and process data; working alongside BI and Data analysts. You will actively participate in the development of our data platform and assist the team in creating new data pipelines, ensuring the highest quality of data delivered. **Responsibilities**: - Work on data extraction architectures and infrastructure for data sourcing - Find ways to merge newly discovered data with existing data - Identify possibilities to automate the processes where possible - Create and maintain optimal data pipeline architectures - Assemble complex data sets that meet the functional requirements - Work with cross-functional teams to assist with related technical issues - Ensure the safety and integrity of our data across geographic boundaries - Actively participate in planning, stand-ups, and retrospective meetings **Qualifications** - At least 3 years of experience working in data engineering domain - Good knowledge of data ETL and processing techniques - Proficient in working with relational databases (such as PostgreSQL, MySQL etc) and understanding of relational storage concepts, with the ability to write and optimize SQL queries. - Experience with Python and Apache Airflow - Experience working with some services in data ecosystem of Amazon Web Service - Organised and structured working process - Able to agree to and deliver to realistic deadlines - Excellent interpersonal and relational skills - Strong agile mindset, able to iterate fast and give early feedback - Desire and eagerness to contribute to the success of the company and grow along with it - Excellent communication skills in verbal and written English **Additional Information** Discover some of the global benefits that empower our people to become the best version of themselves: - ** Finance**: Competitive salary package, share plan, referral bonus; - ** Career Development**: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; - ** Learning Opportunities**: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; - ** Work-Life Balance**: Hybrid work and flexible working hours, employee assistance programme; - ** Health**: Global internal wellbeing programme, access to wellbeing apps; - ** Community**: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. - In compliance with the Law 1581 of 2012, _**_Endava S.A.S. / Endava Colombia S.A.S_**_, identified with _**_NIT. Nº 900.955.679-3 / N° 900.594.521-9 _**_, with an address at Street 96 No. 10 - 38, floor 7th in the city of Bogotá and Career 48 No. 18A - 14 Floor 19, with telephone number (+571) 3905061, (hereinafter referred as “ENDAVA” or the “Organization”), as RESPONSIBLE for the processing of personal information informs:_ - You, and every personal information owner, have the right to: know, update and rectify your personal data; access to it free of charge; to be informed about its use; request proof of authorization; file complaints for violations of the provisions of current regulations before the Superintendence of Industry and Commerce. Finally, in some applicable cases, modify and revoke the consent given and/or request the deletion of your personal information._