Job Description
The Middle Data Engineer will be responsible for implementing business logic in the Data Warehouse according to specifications. This role involves business analysis to ensure relevant data delivery, converting business requirements into data models, managing pipelines, and optimizing query performance. The engineer will collaborate with senior staff to gather requirements and propose ideas, working within an Agile project setup. The engineer will also be involved in the operations of a leading department providing all relevant data for logistics and supply chain. The role requires working with MS SQL/T-SQL and Azure, developing data pipelines, and using DBT.
Good To Have:
- Experience with Databricks
- Experience with Data Orchestration Tools (Dagster, Airflow etc)
- Unit and data testing
- Knowledge of SAP MM Data structures
- Previous working experience in Supply Chain & Logistics
Must Have:
- 3+ years of database systems development experience (MS SQL/T-SQL)
- Experience with Azure and SQL (up to 80% of time)
- Write well performing SQL code
- Data warehousing / dimensional modeling
- Creation and maintenance of Azure DevOps & Azure Data Factory pipelines
- Developing robust data pipelines with DBT
- Working within an Agile project setup
- Upper-intermediate English level
Perks:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
N-iX is looking for a Middle Data Engineer for one of our projects. The Client is among the top 100 of Fortune’s Global 500 companies, a leading global supplier of technology and services (Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology). As a Data Engineer you’ll have a chance to improve the quality of life worldwide with products and services that are innovative and spark enthusiasm. You are going to be involved in operations of leading department which is responsible for providing all the relevant data for logistics and supply chain.
Responsibilities:
- Implementation of business logic in Data Warehouse according with the specifications.
- Some business analysis required to enable providing the relevant data in a relevant manner.
- Conversion of business requirements into data models.
- Pipelines management.
- Loadings and query performance tuning.
- Working with senior staff on the customer's side who will provide requirements while engineer may propose some own ideas.
Requirements:
- At least 3 years of experience in development of data base systems (MS SQL/T-SQL)
- Experience with Azure and readiness to work with SQL (up to 80% of time) is a must
- Writing well performing SQL code and investigating, implementing performance measures SVM (Git, ...)
- Data warehousing / dimensional modelling
- Creation and maintenance of Azure DevOps & Azure Data Factory pipelines
- Developing robust data pipelines with DBT
- Working within an Agile project setup
- Upper-intermediate English level
- Upper-Intermediate or higher Ukrainian level
Would be a plus:
- Experience with Databricks
- Experience with Data Orchestration Tools (Dagster, Airflow etc)
- Unit and data testing
- Knowledge of SAP MM Data structures
- Previous working experience in Supply Chain & Logistics
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
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