Data Engineer building and maintaining data platform solutions for clients at Dignify. Designing, developing, and optimising data models and pipelines with a focus on Google BigQuery.
Responsibilities
Play a key role in building, maintaining and modernising our data platform solutions for clients
Design, develop and maintain data models and tables in Google BigQuery
Build and manage data pipelines, APIs and data exports
Set up and maintain CI/CD pipelines, data orchestration and workflows
Optimize and renovate existing data pipelines and queries to improve performance, reliability and scalability
Monitor data pipelines and workflows, including incident detection and alerting
Ensure data solutions run efficiently and reliably in real‑world production environments
Get hands-on with coding, testing, deploying and maintaining data solutions
Work closely with data scientists, engineers and consultants within agile project teams
Actively contribute to our DataOps practice, sharing knowledge and improving standards
Requirements
Strong experience with Google BigQuery and SQL
Experience with data orchestration, CI/CD and cloud-native data architectures
Comfortable working with APIs, data exports and workflow automation
Strong analytical skills and affinity with data-driven solutions
Familiarity with data science concepts is a strong plus
Used to working in agile teams and are a true team player
Fluent in English and have a solid technical academic background
European work permit required
Benefits
Being surrounded by experienced professionals eager to support your growth
Becoming a key player in a growing company where your work makes a real impact
A vibrant, fun and collaborative workplace culture
Clear and exciting career growth opportunities
An attractive and competitive salary package
Periodic training sessions to stay ahead in your expertise
Working with interesting and well-known companies in retail, publishing, travel and healthcare
Bringing challenging and innovative projects to life, gaining visibility and recognition
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.
Data Engineer (dbt) at SDG Group involved in all phases of data projects. Collaborate on data ingestion, transformation, and visualization in a hybrid environment.
Data Consultant at SDG Group specializing in Data & Analytics projects. Collaborate on technical - functional definitions, ETL, data modeling, and visualization for cloud solutions.
Senior Data Engineer responsible for growing customer - defined targeting calculations and developing key/value databases for real - time data processing.
Data Engineer developing and maintaining the Data Lakehouse platform using Microsoft Azure technology stack at RBC. Collaborating with business and technology teams to enhance data ingestion and modeling processes.
Data Engineer focused on creating a data platform for automated cyber insurance. Collaborating with stakeholders to deliver data processing capabilities and governance.
Data Engineer designing and developing data solutions using AI and machine learning for marketing applications. Collaborating in teams to create impactful data - driven solutions for clients across various industries.
Senior Data Engineer developing scalable data solutions for electric vehicle market at Kempower. Collaborating with cross - functional teams to enhance data engineering processes.
Data Engineer responsible for developing research analytic data infrastructure at Sutter Health. Involves managing data quality, pipelines, and compliance with healthcare regulations.
Senior Data Engineer designing impactful data solutions for clients at Simple Machines. Collaborating with engineers to build data platforms and pipelines in a hybrid workplace.