drjobs Senior Data Engineer

Senior Data Engineer

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1 Vacancy
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Job Location drjobs

Krakow - Poland

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. 

Position Overview:

We are seeking a skilled Data Engineer to join our dynamic Data Engineering team. In this role you will collaborate with cross-functional teams to design develop and optimize data systems and architecture ensuring efficient data processing and accessibility to support business objectives.

Responsibilities:

  • Develop the architecture for the data pipelines and implement it using Python and Microsoft SQL Server Integration Services (SSIS) 
  • Collaborate with the data architect to create and maintain source to target mapping documentation 
  • Identify document and develop measures to visualize and record source data and data pipeline quality objectives 
  • Experience with data migration projects between systems hosted in different hosting environments (on-premises AWS Azure etc.) 
  • Contribute to agile ceremonies size tasks and deliverables

Qualifications :

Educational Background: Bachelors degree in Computer Science Engineering or a related technical field.

Experience: 4 years of experience in data engineering with a strong understanding of ETL processes data warehousing and data modeling.

Technical Skills:

  • Proficiency in programming languages such as Python or Java.
  • Experience with cloud platforms preferably AWS and related data services.
  • Familiarity with data visualization tools like Tableau or Power BI.
  • Knowledge of big data tools and frameworks (e.g. Spark Hadoop) is a plus.
  • Strong expertise in SQL Server SSIS SSAS Tabular Model and Power BI.
  • Experience with ETL design data warehousing and data pipeline optimization.
  • Hands-on knowledge of data modeling concepts (conceptual logical physical) for BI and analytics use cases.
  • Familiarity with modern reporting tools.
  • Ability to integrate Python-based machine learning models into data workflows is a plus.

Soft Skills:

  • Strong problem-solving abilities and attention to detail.
  • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to work collaboratively in a team-oriented environment.


Additional Information :

Discover some of the global benefits that empower our people to become the best version of themselves:

  • Finance: Competitive salary package share plan company performance bonuses value-based recognition awards referral bonus;  
  • Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;
  • Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;
  • Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;
  • Health: Global internal wellbeing programme access to wellbeing apps;
  • Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.

At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

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