Associate Data Engineer
We are looking for a motivated and detail-oriented Associate Data Engineer who is eager to build foundational data engineering and analytics skills while delivering impactful insights through dashboards, data pipelines, and business intelligence solutions.
Please note that we do not offer sponsorship and do not partner with external agencies.
The Associate Data Engineer plays a key role in delivering actionable business insights through analytics, dashboards, and foundational data engineering practices. This entry-level position focuses on building and supporting data pipelines, developing dashboards, and translating business requirements into meaningful data solutions. This role is ideal for early-career professionals eager to grow within modern data warehousing and analytics environments.
What You’ll Do
Data Analytics & Visualization
- Design and develop KPIs, metrics, and dashboards using tools such as Power BI
- Analyze datasets to identify trends, patterns, and actionable insights
- Deliver timely, accurate, and meaningful business intelligence to stakeholders
Data Engineering & Pipeline Support
- Assist in building backend data processes using established data warehouse modeling techniques (e.g., Kimball)
- Support the development of simple ETL pipelines and data transformations
- Contribute to data mart creation and reporting structures
Stakeholder Collaboration
- Partner with business stakeholders to gather requirements and translate them into data solutions
- Communicate findings clearly to both technical and non-technical audiences
- Support decision-making through data-driven insights
Team Contribution & Continuous Improvement
- Support team initiatives to deliver consistent, high-quality business intelligence
- Work within Agile frameworks to contribute to sprint deliverables
- Continuously learn and adopt modern data technologies and best practices
Qualifications
Education
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field or equivalent combination of education and relevant experience will be considered
Experience
- 2 years of experience in data analytics, ETL, or data warehousing
- Hands-on experience using SQL, Power BI, and Python
Core Capabilities
- Strong analytical, problem-solving, and critical thinking skills
- Ability to interpret complex data and communicate insights effectively
- Working knowledge of data warehousing concepts and methodologies (Kimball)
- Familiarity with BI/DW lifecycle processes (ETL, data marts, reporting, analytics)
- Experience with Azure Fabric highly preferred
- Experience with Agile methodology preferred
- Exposure to AI / ML tools preferred
- Strong verbal and written communication skills
Why Join
- Build a strong foundation in data engineering and analytics
- Gain hands-on experience with modern tools and technologies
- Career growth opportunities within a data-driven organization
- Work alongside experienced professionals in a supportive environment
Apply Today
If you are passionate about data, eager to learn, and ready to launch your career in data engineering and analytics, we encourage you to apply today!