Level

Atos

Senior Azure Data Engineer with Synapse

Atos is hiring a Senior Azure Data Engineer with Synapse. Level rates it ; you can apply on Atos.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 609 other open roles at Atos.
  • The role was posted within the past two weeks.

AI in this role

 

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.

 

With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.

 

About Atos Group

Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.

 

Location: Poland (mostly remote + 2 short business trips to client's office in the Netherlands per year)
Seniority: Mid/Senior
Employment Type: Contract of employment only
Language: English B2
Nationality: EU nationality required

 

We are looking for an experienced Data Engineer to join our team.

Key Responsibilities:

  • Build, maintain, and enhance data solutions on the Microsoft Azure platform.
  • Design and implement robust data integration processes and pipelines using Microsoft Fabric and Azure Data Factory.
  • Develop, optimize, and support analytical solutions within Azure Data Lake and Azure Synapse Analytics.
  • Collaborate with business stakeholders to translate business requirements and user stories into technical solutions.
  • Design and develop end-to-end data pipelines and integration frameworks.

Qualifications:

  • Microsoft Azure (at least 4 years in designing and developing data solutions)
  • Azure Data Factory (at least 4 years of experience)
  • Experience with Microsoft Fabric, Synapse Analytics and Data Lake
  • Understanding of data integration, ETL/ELT processes, and data pipeline development.
  • Excelent command of English (minimum B2 level).

Nice to Have:

  • SAP BW
  • FPSL

 

What’s in it for you? 

  • Courses and certifications e.g. Google Cloud, AWS, ITIL
  • Wellbeing programs & work-life balance - integration and passion-sharing events
  • Private medical and dental care
  • Benefits platform – shopping, cinema, sport etc.
  • Co-funding of sports activities, e.g. Multisport & OK system cards, b-active program

 

 

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. 

Choose your future. Choose Atos.

How we rate this

Senior Azure Data Engineer with Synapse at Atos rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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