Data Engineer role at Haeger Consulting focused on developing and processing data solutions. Responsible for building scalable ETL/ELT data pipelines and ensuring data quality.
Responsibilities
Develop and implement data solutions for a variety of clients
Build scalable ETL/ELT data pipelines for batch and streaming processing
Implement data models following Kimball, Data Vault, or Lakehouse principles
Transform, normalize, and denormalize data from various source systems
Orchestrate data pipelines using Airflow or similar tools
Support data analytics and machine learning pipelines
Ensure quality through testing, documentation, and CI/CD
Requirements
Several years of professional experience in the areas listed above
Strong SQL skills
Strong knowledge of Spark / PySpark
Proficient in Python
Experience with dbt and Airflow or comparable orchestration tools
Experienced with Snowflake and/or Databricks
Experienced in data modeling (dimensional modeling, Data Vault, normalization & denormalization)
Analytical mindset and enjoyment of solving complex data problems
Self-organized working style and the ability to maintain oversight across multiple client projects
Interest in consulting and varied, engaging projects
Open and constructive communication and an appreciation for candid feedback
Benefits
Innovative projects and a creative environment: Work on exciting client engagements in a creative and dynamic setting with plenty of room for your own ideas and personal development.
Agility: Join a team that works agilely and flexibly to consistently deliver the best results.
Flexibility: Shape your workday according to your needs — with options for remote work and flexible hours.
Scope for influence: You have the opportunity to actively shape and expand our data practice.
Knowledge sharing & growth – Benefit from intensive internal know-how transfer and the opportunity to actively contribute to the team's development — both professionally and personally.
Team spirit: In our open and collegial environment, teamwork is paramount — we believe the best ideas emerge through collaboration.
We value diversity and promote a culture of inclusion. Everyone is welcome!
Attractive perks: You will receive a competitive salary, various benefits, and fun employee events.
Director, Data Platform Design and Strategy at MedImpact leading data platform and AI innovations to enhance healthcare services. Overseeing enterprise projects and managing teams to meet strategic goals.
Data Engineer delivering AI - and data - driven solutions for Honeywell’s industrial customers. Architecting and implementing scalable data pipelines and platforms focused on IoT and real - time data processing.
Data Engineering Associate focusing on data quality control and management for distribution platform. Collaborates on large scale data projects to ensure data accuracy and availability for users.
Data Architect managing enterprise data platform built on Microsoft Fabric at Johnstone Supply. Leading architectural standards and collaborating with business and IT leaders for strategic data - driven insights.
Data Engineer at Studyportals responsible for data pipelines and infrastructure. Join a team ensuring accurate and trustworthy data for analytics and business decisions.
AI/ML Engineer designing and refining prompts and workflows using large language models. Responsible for developing data pipelines and delivering scalable AI solutions in a hybrid work environment.
AWS Data Architect at Fractal designing and operationalizing AWS data solutions at enterprise scale. Collaborating with clients and mentoring engineers in best practices.
Senior Data Engineer driving data - driven success at Pacific Life. Collaborating with a team to build scalable and secure data solutions in Newport Beach, CA or Charlotte, NC.
Data Architect managing Commercial Data architecture initiatives for Valmet's sales and service team. Leading AI - driven data integrity and quality efforts in a global context.
Data Solutions Architect leading business intelligence solutions and analytics at Crowe. Overseeing data pipelines and analytics frameworks to drive decision - making and compliance.