Job Description YOUR ROLE Do you have at least 5 years' experience in Data Engineering?
We are recruiting Azure Data Engineers to design, develop, and maintain robust database systems and data pipelines.
Work with cloud and on-premises ETL tools, create and manage SQL objects, and build scalable data solutions, including star schemas and master data management frameworks.
You will also develop BI reports, reusable pipelines, and data warehouse objects while ensuring code quality through DevOps practices and unit testing.
Additionally, you will support product processes by maintaining efficient, high-performance data systems.
Key responsibilities of the role:
Developing and updating ETL processes/pipelines, using various cloud and on-prem ETL tools Writing and updating SQL objects, including stored procedures, tables, views Creating and updating reports using various BI reporting tools Creating, updating and maintaining star schema Creating and maintaining solutions for master/reference data Creating, updating reusable pipelines and warehouse objects Creating, updating and checkin/checkout code using various DevOps tool Creating unit test documents Building and maintaining database systems Collaborating with a range of stakeholders, from data analysts to business SMEs.
Translating requirements, producing solution documents into deliverables Act as a consultant to our clients Lead complex data engineering projects Lead high performing teams, coordinating contributions of other specialists to complete projects.
Excellent verbal and written English Skills & Requirements YOUR PROFILE Hold an honours degree in Computer Science, Data Analytics, Engineering, or a related field.
Minimum 5 years professional experience, working as a
Data Engineer:
building and maintaining database systems Implementing data management practices: data profiling, sourcing, cleansing; including standardisation, transformation, rationalisation, linking and matching.
High Proficiency with SQL and T-SQL High Profiency with Python, C# Write stored procedures Develop warehousing solutions, and using ETL (Extract, Transfer, Load) tools e.g.
ADF, SSIS.
Understand basic machine learning and algorithms.
Work on different type of databases, On-Prem SQL Server, Azure SQL DB, Azure Synapse SQL Pool Build data models for PowerBI, SSRS and Excel Use Azure DevOps, Github Work with Gen 2 Azure Data Lake, Storage Account, Blobs, Azure Function, Logic App Create and update reusable pipelines and warehouse objects WHAT YOU WILL LOVE ABOUT WORKING HERE?
Craft your own career path through continuous learning and personal growth; Our commitment to maintain high ethical standards ensuring Diversity, Sustainability and Inclusion in our business practises; Be a part of our professional communities role framework which promotes professional growth, career development and enhances Sogeti's capabilities across different domains.
Sogeti Ireland is an equal opportunity employer.
We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.
We embrace the value of diversity within Sogeti and the entrepreneurial spirit of our people.
If you're looking to join a company with a proven track record of success and that deeply values its people, Sogeti Ireland offers the opportunity for you to grow and advance.
To start the process click the Continue to Application below.