Junior Data Engineer (Databricks)
Quick Summary
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce,…
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
Responsibilities
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Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster.
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Contribute to the development of CI/CD and MLOps processes.
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Develop applications to aggregate, process, and analyze data from diverse sources.
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Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building.
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Develop and organize data transformations using Databricks/DBT and Apache Airflow.
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Translate business requirements into technical solutions and ensure optimal performance and quality.
Strong programming skills in Python: writing a clean code, OOP design.
Experience in designing and implementing data governance and data management processes.
Experience implementing and deploying solutions in cloud environments (with a preference for Azure).
Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code.
Knowledge of how to build and deploy Power BI reports and dashboards for data visualization.
Excellent understanding of dimensional data and data modeling techniques.
Excellent communication skills and consulting experience with direct interaction with clients.
Ability to work independently and take ownership of project deliverables.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- First seen
- May 5, 2026
- Last seen
- May 30, 2026
Posting Health
- Days active
- 24
- Repost count
- 0
- Trust Level
- 14%
- Scored at
- May 30, 2026
Signal breakdown
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