Expected, Apache Spark, PySpark, Python, SQL

About the project, We are looking for a highly experienced Senior Data Engineer / Technical Lead to take ownership of the architecture, design, and technical direction of a modern enterprise data platform built on Azure Databricks. This role will serve as the technical right-hand to the engineering leadership team, providing technical guidance to a team of approximately six engineers while driving key architectural decisions across the platform., , The successful candidate will play a critical role during the early stages of the program, leading the design of the central data model and data products, establishing architectural standards, and ensuring alignment across business and technical stakeholders.

This is how we work, in house, at the client's site

Your responsibilities, Own the technical architecture, design, and implementation approach for the enterprise data platform., Define and drive the overall Azure Databricks strategy, architecture, and engineering standards., Translate business and product requirements into scalable, maintainable, and high-performing technical solutions., Lead technical decision-making and provide architectural guidance across the engineering team., Mentor and coach data engineers, promoting engineering excellence and best practices., Design and establish the central data model and data product framework for the platform., Create solution designs, architecture blueprints, and technical documentation., Present and defend architectural decisions to business stakeholders, architects, and senior leadership., Define development standards, governance frameworks, and engineering best practices., Ensure solutions are scalable, secure, cost-effective, and aligned with long-term business objectives.

Extensive hands-on experience with Azure Databricks in enterprise-scale environments., Deep expertise in Lakehouse architecture and Medallion Architecture (Bronze, Silver, Gold)., Strong experience designing and implementing enterprise data platforms., Proven track record in data modeling, semantic modeling, and data product design., Expert knowledge of Apache Spark, PySpark, Python, and SQL., Strong understanding of distributed data processing and modern data architecture patterns., Experience designing scalable, cloud-native analytics and data platforms., Ability to balance architectural vision with hands-on engineering delivery., Strong communication and stakeholder management skills., Experience presenting technical solutions to both technical and non-technical audiences.

Optional, Experience with Azure Data Lake Storage, Unity Catalog, Delta Lake, and related Databricks services., Knowledge of data governance, security, and data quality frameworks., Experience leading or mentoring engineering teams., Familiarity with Data Mesh and modern data product operating models., Azure and Databricks certifications are highly desirable.

Development opportunities we offer, intracompany training, soft skills training, substantive support from technological leaders, support of IT events, time for development of your ideas

Benefits, sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, life insurance, remote work opportunities, integration events, retirement pension plan, preferential loans, no dress code, coffee / tea, parking space for employees, extra social benefits, christmas gifts, employee referral program, opportunity to obtain permits and licenses, charity initiatives, extra leave, global IT projects, new technologies, Mental health support

Recruitment stages, Screening with recruiter, Interview - HR and technical part, Feedback

Additional Information, 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.

Atos Poland Global Services Sp. z o.o., Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, 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 the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris., , The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

This is how we work,

Senior Data Engineer / Technical Lead (Azure Databricks)

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