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.
RequirementsWhat 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.
BenefitsWhy 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.
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.
Skills Required
- Proficiency in Python and PySpark
- Minimum 3 years professional development experience in SQL, ETL, and data warehousing
- Expertise in modern data warehousing techniques (Kimball/Inmon, Data Vault 2.0)
- Practical knowledge of a cloud platform (e.g., Azure, Databricks)
- Solid understanding of Microsoft BI solutions (SQL Server, SSIS, SSAS, Azure Data Factory, Power BI)
- Experience with workflow/orchestration engines (Airflow, Prefect, Dagster)
- Familiarity with Git or other version control tools
- Degree in Computer Science or a related field
What We Do
Welcome to Accepted, your trusted partner in Digital Products implementation. We specialize in empowering Organizations and Software Vendors to bring their innovative vision to life through a comprehensive range of quality services, delivered by carefully selected professionals dedicated to continuous excellence. Whether you need to augment your existing team, deploy dedicated teams tailored to your project needs, or completely outsource your project, we have the expertise and flexibility to support you every step of the way with top-tier Business Analysts, Project Managers, UX/UI Designers, Software Engineers and Data Engineers. Let us help you transform your ideas into reality and achieve your strategic goals.
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