Job description
Level-2 Position Title: Sr. Data Engineer Location: Atlas Copco, Global IT Hub, Hinjewadi, Pune, India Competency: Data Analytics (CT) Reporting Position: Team Lead Experience: 3-6 Years Date: June 2026 About us: Did you know that Atlas Copco is the largest Air Compressor manufacturer in the world with its compressors being used in industries ranging from hospitals to offshore oil drills? Are you looking to be part of an organization which believes in investing in its people and contributing towards their organic growth? Would you be interested to be part of the organization which is tasked with establishing, consolidating, and unifying data and analytics services across the business area of Compressor Technique within Atlas Copco? Are you an experienced data engineer who would like to use their experience to build and maintain enterprise-production-grade data pipelines, considering business requirements and platform standards? This might be the perfect opportunity for you to make a difference. Join a team of around 10 people working on solutions for Purchasing & Sustainability stakeholders! We are a cross-country team based in Belgium, the Czech Republic, Bulgaria, and India. Alongside our daily work, we place strong emphasis on team collaboration, open communication, and building a positive and supportive team culture. Job Description: As a Senior Data Engineer within the CT‑IS Purchasing & Sustainability team, you play a key role in translating business needs into scalable, reliable, and data-driven solutions. You work closely with a project lead, other data engineers, product owner and the business stakeholders to understand their requirements, challenges, and opportunities, and convert these into robust data pipelines, models, and datasets that enable high-quality reporting and insights. Examples of technologies you will be working with: Azure Data Lake Storage, Delta Lake, Azure Data Factory, Databricks, Azure SQL, Azure Dev Ops. Beyond technical delivery, you contribute to end-to-end solution development, including scoping, design, implementation, validation, and deployment. You ensure that data solutions are not only technically sound but also aligned with business objectives and user needs. You actively support continuous improvement by optimizing data processes, resolving production issues, and ensuring data quality and reliability. You operate within the established data platform and architectural standards, ensuring that all solutions comply with platform guidelines, governance, and best practices for scalability, security, and maintainability. What we value in this role: We are looking for a data engineer colleague who stands out not only through technical expertise but through mindset and approach: A strong problem-solving attitude: you do not stop at identifying issues but actively move toward pragmatic and effective solutions The ability to navigate complex data challenges with clarity and focus, balancing analytical thinking with creativity A solution-oriented mindset, working through obstacles and driving topics to completion A high level of ownership and commitment, ensuring quality and thoroughness in execution The ability to think critically and challenge assumptions, contributing to better data solutions and outcomes A natural tendency to dig deep into problems, ensuring robustness and long-term value of data products A data-driven mindset, with the ability to translate complex data into clear insights and sound conclusions Skills and Experience: Technical Expertise The ideal candidate has good experience with data engineering on cloud-based data platforms using Databricks (Spark), preferably based on MS Azure technology: Azure Storage, Azure SQL database, Azure data factory, Azure Databricks Good coding skills (Python, SQL, or Scala) Solid understanding of data modelling, data warehousing, and relational database concepts Experience designing and implementing scalable data pipelines and data models Familiarity with AI/ML concepts and data preparation for analytics and AI-driven solutions (e.g. feature engineering, large-scale datasets, data quality for AI) Experience with following concepts or technologies is considered a plus: Data Lake Storage, SQL, Hive, Presto, … Databricks, Spark, Delta Lake, Hadoop, HDInsights, Cloudera, Hortonworks, MapR, … Azure Functions, Azure Synapse, Azure Analysis Services, Power BI Python, SQL, Scala, Java, C#, … Azure AD, Ranger, … Docker, Kubernetes, … Azure, AWS, … Kafka, StreamSets, REST, … Engineering Practices Proven experience in building and maintaining robust, production-grade data pipelines Familiarity with modern development practices, including version control and CI/CD Experience working with standardized deployment frameworks (e.g. Asset Bundles or similar) Ability to document data pipelines, models, and technical solutions clearly Delivery & Solution Development Ability to independently deliver end-to-end data solutions (design, build, test, deploy, support) Experience working with complex, multi-source datasets to meet business requirements Strong problem-solving skills and ability to manage multiple priorities/projects Experience working in Agile environments (Scrum); Jira exposure is a plus Business & Collaboration Ability to translate business requirements into data solutions and provide guidance to stakeholders Good understanding of BI/reporting principles and data visualization concepts Ability to lead small-scale data engineering initiatives Competences: You are customer-oriented, professional, and focused on delivering value You have a can-do mindset and hands-on approach, with a willingness to learn and take initiative You are a strong communicator and collaborate effectively across teams, levels, and cultures You demonstrate strong analytical thinking and can derive insights from complex data You translate business needs into practical data solutions with focus on the bigger picture You take ownership and deliver results in a structured and quality-focused way You are proactive and continuously look for improvements You are a team player, flexible, and able to perform in a fast-changing environment What we offer: Flexible working hours Flexible office and home working policies A modern infrastructure providing you with the latest tools and technologies at your disposal. A challenging environment which contributes to your constant learning and professional growth To be part of the data competence team which is constantly growing. Depending on the country you are enrolled in group healthcare insurance plans covering your medical needs. A chance to become part of a global, innovative company, supporting sustainable productivity. You get the opportunity to bring revolutionary ideas fostering innovation and execute qualified ideas. A friendly culture with immense professional and personal development, education, and opportunities for career growth Free access to LinkedIn Learning and many other internal and external trainings Atlas Copco offers trainings on a regular basis to acquire new skills. You get the opportunity to make the world a better place through our sustainable goals and by contributing and being part of our Water for all projects. Friendly and open culture of Swedish company. Very high visibility in the organization with "No door" culture, you can always talk to anyone in the organization. Free Canteen & Transport facility
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