Majorel Corporate

Data Engineer Team Leader - Poland

Job description

About Majorel

At Majorel we design, deliver and differentiate customer experience on behalf of some of the world’s most respected brands. We create amazing customer experiences that people value and we are proud of. By combining talent, data and technology we deliver real impact for our partners.

We serve customers across the world through our 75,000+ employees based in 41 countries in Europe, the Middle East, Africa, Americas and Asia in 60 languages. We support customers at any time, through every device and in the manner they expect of their brands. We speak their language wherever they are and whatever their culture.

Majorel employees are differentiated by a particular kind of drive – we are always driven to go further to do the best we can every single day. We are relentless, resourceful, resilient, agile, energetic and focused and if you are too, we’ll provide you with an environment that will let you thrive.

Job summary

You will support a team of Data Engineers/ BI Developers to deliver identified priorities, assignments and achieve performance goals. Including delivery of robust, creative and high-quality fit for purpose solutions, in such areas as but not limited to; ETL Processes, automated data quality gates with alerting, development of data storage and reporting structures (working closely with Data Architecture resources) both in database & semantic layer structures.

Main responsibilities

  • Leading one of globalData Engineering team
  • Provide technical and analytical support to Data Engineers
  • Career counseling and improve technical skills of team
  • Setup support for new team members
  • Collaborating with internal analitics teams and other teams (IT, Ops, HR, Finance)
  • Executes full business intelligence life cycle including:
  • Analysis and ETL design processes

ETL creation & development - Azure Data Factory and Databricks

Maintenance of Azure DevOps (boards, repos, pipelines)

  • Developing, implement and optimize stored procedures and functions using T-SQL
  • Participation in data lake (data warehouse) design
  • Maintaining, evaluate and improve BI systems
  • Maintaining and support Cloud data platform
  • Collaborate with teams to integrate systems,
  • Collaborate with teams to test and improve process of implementation
  • Collaborate with teams to design new BI cloud solutions for multi-regional access to distributed data sets

Competencies & professional background

Educational Background:

  • BS/MS degree in Computer Science, Engineering or related subject

Technical Skills: (knowledge, experiences, IT tools/software, languages)

  • Proven experience as a BI Developer or at least 7 years experience as SQL Developer,
  • Experience as a team leader
  • Strong skills Azure Data Factory or Databricksto include understanding of control flow and data flow tasks, with package auditing of data as it moves through the data pipeline (or other tools – SSIS, Pentaho etc.)
  • Good understanding of SQL programming
  • Ability to program some custom scripting tasks for complex assignments (Python language preferred)
  • knowledge of all SQL Server database (T-SQL) tasks including jobs, data backups and redundancy, database maintenance (indexing and statistics)

Soft Skills:

  • Organizational, influencing and communication skills
  • High level of critical thinking and analytical skills
  • Proven abilities to take initiative and be innovative
  • Agile approach
  • English – B2/C1, Polish-not necessary
  • Organizational, influencing and communication skills
  • High level of critical thinking and analytical skills
  • Proven abilities to take initiative and be innovative

Does the profile match your CV and are you interested? Please press the apply button below!

At Majorel, diversity is a part of our DNA. We are committed to providing equal employment opportunities and creating an inclusive environment for all candidates and employees. All qualified applicants will receive consideration for employment without regard to sex, race, color, creed, religion, national origin, age, disability status, marital status, pregnancy, sexual orientation, gender identity or expression.

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