Working model: Hybrid | Type: Full-time
Accepted is a software and digital transformation services firm helping clients accelerate innovation in Finance, Energy, Gaming, Telco, and beyond. With 20+ years of engineering excellence, we’re known for building outcome-driven solutions and high-performing teams that feel like part of your own.
We’re looking for a Data Engineer to strengthen our hybrid delivery teams.
What You’ll Do
- Pipeline Development: Design, develop, and maintain data pipelines to ensure efficient and reliable data processing;
- Data Modeling: Implement and optimize data models, data storage, and data integration solutions;
- Data Transformation: Perform data profiling, data cleansing, and data transformation activities;
- Monitoring & Troubleshooting: Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
Requirements
What You’ll Bring
- Proficiency in programming languages with a focus on data analytics (ideally Python & PySpark);
- Minimum 3 years of professional development experience in SQL, ETL & DW;
- Expertise in modern data warehousing techniques (Kimbal/Inmon data modeling, Data Vault 2.0);
- Practical knowledge with a Cloud Platform (e.g. Azure, Databricks);
- Solid understanding of Microsoft Business Intelligence solutions (SQL Server, SSIS, SSAS, Azure Data Factory, Power BI);
- Experience with a workflow/orchestration engine (e.g. Airflow, Prefect, Dagster);
- Familiar with Git or other version control tools;
- A degree in Computer Science or related field.
Benefits
Why Accepted
- Competitive compensation aligned with your experience and skills;
- Annual bonus scheme linked to company performance;
- Private medical, dental, and life insurance coverage;
- Ongoing professional development through training and certifications;
- Structured mentoring to support your growth and advancement.
Your Next Step
Apply today and grow with a company where innovation, trust, and excellence come together. All applications are confidential. We are proud to be an Equal Opportunity Employer.
