Location: Europe-based (Office/Hybrid/Remote)
Position Summary
We are seeking a Data Engineer, junior to join the Data team. This role will help deliver, maintain, and evolve our new enterprise data platform, fulfilling our mission to empower our colleagues with access to trusted data, while enabling self-service analytics at scale across the entire organization.
In this role, the data engineer will translate business requirements into value, embracing a product-focused approach in aiding the creation and roll-out of innovative data products. We are seeking a data and tech enthusiast who can help the team inspire a data-driven culture across Bentley.
We will rely on you for the following:
Design, develop, and maintain efficient data pipelines to serve applications and stakeholders.
Create excellent engineering solutions in a modern cloud tech stack.
Establish and maintain data quality checks and verifications to ensure the accuracy and reliability of data.
Enhance data processing and optimize workflows.
Analyze and tune database queries for performance and understand core database functions that support the data models.
Design and implement data warehouse/data marts, including:
Working with end users on requirements.
Understanding the data that exists in the source systems and constraints.
Creation of data models utilizing facts and dimensions.
End to end testing of the model, data mart and pipelines.
Documentation for Data Warehouse/Data Marts.
Collaborate with the engineering team to create integrations to and from the source and target systems.
Collaborate with analytics team and business users to identify requirements and develop data products that meet their needs.
Maintain clear and organized documentation of data-related processes, procedures, and workflows, ensuring that they are accessible to relevant team members.
Implement data security policies and best practices through the use of auditing, role-based security (RBAC).
What You Bring to The Team:
Experience with data warehouse technologies and relevant data modelling best practices, preferably Snowflake and Databricks.
Experience building data pipelines/ETL and familiarity with design principles.
Excellent SQL and data manipulation skills using common frameworks.
Possess excellent problem-solving skills and critical thinking.
Experience with business requirements gathering for data sourcing.
Excellent analytical and communication skills to both technical and non-technical stakeholders.
Bachelor's/Master's degree in Computer Science, Engineering or related technical field or equivalent industry experience.
What would make you stand out:
Experience with cloud services, specifically Azure.
Experience with major programming languages (e.g. Python, Scala, Golang).
Experience with BI technologies, specifically Power BI and Qlik.
An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction.
Competitive Salary and benefits.
The opportunity to work within a global and diversely international team.
A supportive and collaborative environment.
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