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Senior Data Engineer (Azure Data Factory, Ukraine) #14712

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Ukraine

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field, Minimum 5 years of experience in data management, Experience with Azure Data Factory and data pipelines, Proficient in Databricks, Python, and SQL, Leadership in agile teams using Scrum methodologies.

Key responsabilities:

  • Design and manage complex data pipelines using Azure Data Factory
  • Lead data processing and optimization efforts
  • Collaborate with Product Owners and Tech Leaders on data solutions
  • Oversee data storage organization in Azure
  • Mentor mid-level data engineers and establish best practices
Capgemini Engineering logo
Capgemini Engineering Information Technology & Services XLarge https://www.capgemini.com/
10001 Employees
About Capgemini Engineering
World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms. The Group reported in 2022 global revenues of €22 billion.Get the Future You Want | www.capgemini.com
See more Capgemini Engineering offers

Job description

Purpose Of The Job

We are looking for an experienced Senior Data Engineer with a minimum of 5 years of experience in data ingestion, processing, and management within cloud environments, especially the Azure ecosystem. The ideal candidate will lead and mentor agile teams, driving the development and optimization of our data infrastructure.

Main Tasks And Responsibilities

  • Design, develop, and manage complex data pipelines using Azure Data Factory (ADF).
  • Lead efforts in processing, transforming, and optimizing data with Databricks, Python, and SQL.
  • Collaborate closely with Product Owners and Tech Leaders to architect advanced data solutions in agile sprints.
  • Oversee the storage and organization of data in Azure Storage Accounts.
  • Automate and enhance workflows to maximize data ingestion and processing efficiency.
  • Establish and enforce best practices throughout the data pipelines.
  • Mentor mid-level data engineers and contribute to team skill development.

Education, Skills And Experience

 MUST HAVE:

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Minimum of 3 years of experience with Azure Data Factory (ADF) and complex data pipeline orchestration.
  • Deep proficiency in Databricks, Python, and SQL.
  • Strong experience with Azure DevOps, data formats like Parquet, and data transfer protocols such as SFTP.
  • Proven leadership in agile teams using Scrum methodologies.
  • Bachelor's degree in Computer Science, Information Systems, or a related field (Master's degree is a plus).
  • English proficiency at B2 level or higher.

Nice To Have

  • Advanced experience with data integration or ETL tools such as Informatica PowerCenter, Talend, SSIS, Nifi or similar platforms.
  • Familiarity with project management tools like Jira, Confluence, and advanced schedulers like Control-M.
  • Strong knowledge of data security practices and data governance in cloud environments.

Additional Skills

  • Exceptional communication and leadership abilities.
  • Proactive in driving innovation and improving data workflows.
  • Ability to collaborate effectively with cross-functional teams.
  • Dedication to continuous learning and staying updated with industry trends.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Hard Skills

Policy EnforcementJIRAProject Management SoftwarePython (Programming Language)Data IngestionAgile MethodologyAtlassian ConfluenceData GovernanceData ManagementAzure Data FactoryDatabricksData EngineeringSQL (Programming Language)TalendInformatica PowercenterData ProcessingMicrosoft AzureAzure DevOpsWorkflow AutomationApache NiFiData StorageData Pipeline ManagementData Security

Other Skills

  • Mentorship
  • Leadership
  • Collaboration
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