Senior Data Engineers

Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.

At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.

• Design, build, and maintain scalable end-to-end data pipelines to support analytics, reporting, and data-driven decision making.

• Develop and optimize data models, transformations, and ELT/ETL processes using modern data stack technologies.

• Build and maintain data warehouse solutions and support data integration from multiple internal and external sources.

• Ensure data quality, governance, security, and reliability across data platforms and pipelines.

• Monitor, troubleshoot, and optimize data workflows, models, and processing performance.

• Support stakeholders by providing actionable insights and enabling effective use of data products.

• 5+ years of experience in Data Engineering, Analytics Engineering, or similar roles.

• Strong experience building and maintaining scalable data pipelines and data warehouse solutions.

• Advanced SQL skills and proven experience with data modeling techniques.

• Strong Python skills for data processing, automation, and orchestration.

• Experience with modern data stack tools such as dbt, Airflow, Airbyte, or similar technologies.

• Experience working with cloud-based data platforms and data warehouses, preferably Snowflake.

• Ability to translate business requirements into scalable data models and technical solutions.

• Strong analytical and problem-solving skills with attention to detail.

• Experience working directly with business stakeholders and cross-functional teams.

• Experience with Snowflake, BigQuery, Redshift, Databricks, or similar cloud data platforms.

• Experience with business intelligence and reporting tools such as Tableau, Power BI, Looker, Qlik, or similar.

• Experience supporting Marketing, Product, Revenue, or Customer Analytics domains.

• Experience building semantic layers and self-service analytics solutions.

• Experience with data observability, monitoring, and performance optimization.

• Experience supporting AI, Machine Learning, or advanced analytics initiatives.

• Fluency in English.

We cultivate an environment where innovative ideas and excellence have room to thrive - even with a remote workforce. Our culture of learning rewards curiosity and gives our team members opportunities to learn, grow, and own the evolution of their careers.

• Career Path Planning – You can create a career path based on your goals. We provide training, mentoring, and support to help you along the way.

• Training & Mentorship – Learning and Development is a big part of our company culture. You will have unlimited access to Udemy, internal courses and training, and a robust mentorship program.

• Hubs – You will join the community of intivers sharing the same professional profile. There is space for knowledge sharing with people with similar capabilities to yours and to access the latest technology trends.

• Culture & Connection – We cultivate connections within teams, across functions, and up and down the org chart. We make sure everyone is noticed and feels connected to our mission and each other.

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Originally posted on Himalayas