Data Engineer

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.