The Atlas Copco Group serves customers through innovative compressors, vacuum solutions, generators, pumps, power tools and assembly systems. We are a global and diverse Group of many strong brands and around 40 000 employees representing different cultures in more than 180 countries.

Who are we?

The Data Excellence team, you will be art of, is responsible for the development, continuous improvement and support of data-driven solutions in Atlas Copco Compressor Technique. We build and operate data pipelines and data sets used for data science & analytics, process automation and business intelligence. We work in close collaboration with other business and IT data teams within the Atlas Copco.

The role

• As Azure data engineer, you will build, configure, deploy and support a production-grade, scalable and secure data platform. On top of this platform, you will build and support long-term, production-grade data pipelines that ingest, store, transform, process and expose data from producer to consumer, based on business requirements. Data pipelines are developed using a code-first approach in line with the platform standards and practices
• You translate functional requirements into a technical design
• You provide and maintain technical documentation
• You train and handover common data engineering related maintenance and monitoring activities to the support organization
• You provide 1st, 2nd and 3rd level support in a DevOps operational mode or when required (occasionally outside of office hours)
• You share technology and platform expertise with colleague data engineers, project managers and data asset owners in the organization

Important areas of expertise are:

• Storage: Best of breed (Cloud) storage solutions, both for unstructured and structured data.
• Ingestion: Streaming and batch ingestion from source systems both in the cloud and on-premise, private and public.
• Transformation: Code-first big-data ELT vs. classic ETL
• Analytic engines: Deploy, configure and operationalize analytics engines and its clustered infrastructure
• Exposure/Integration: Expose data based on consumption use-cases like data science, (self-service) business analytics/intelligence and operational API’s
• Data Platform: Health, logging, monitoring, debugging, automation


• Experience with data engineering on cloud-based data platforms, preferably based on MS Azure technology: Azure Storage, Azure SQL database, Azure data factory, Databricks
• Experience with following concepts or technologies is considered a plus but are not mandatory:
- Azure, AWS, …
- Data Lake Storage, SQL, Hive, Presto, …
- Databricks, Spark, Delta Lake, Hadoop, HDInsights, Cloudera, Hortonworks, MapR, …
- Azure Functions, Azure Synapse, Azure Analysis Services, Power BI
- Scala, Python, Java, C#, …
- Azure AD, Ranger, …
- Docker, Kubernetes, …
- Kafka, StreamSets, REST, …

Are you a good fit?

• You have a passion for innovation and technologies, combined with strong technical and analytical skills.
• You have a “can-do” mindset, “hands-on” approach and are decisive. You are not afraid of making errors and are willing to learn by doing.
• You are eager to learn new things and to keep up with everchanging technologies
• You are a good communicator and can maintain excellent relationships with your stakeholders and colleagues, however, are not afraid to challenge if necessary.

Employee benefits

• Flexible working hours shortened to 37,5 hours a week
• 5 weeks of holiday, 3 sick days
• An annual financial bonus and regular salary increase
• Contribution for meal and in pension fund
• MultiSport card/Welness vouchers
• Language courses, free access to LinkedIn Learning and many other internal and external trainings
• Possibility of partial work from home also for the future in post-covid time
• Friendly and open culture of Swedish company

Interested in this job opportunity?

Great! Now’s the time to send us your CV.

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Atlas Copco Services s.r.o.
Petra Boháčová
Holandská 10
639 00  Brno
Česká republika

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