Data Engineer
2 weeks ago
We are looking for a BI & Analytics Engineer who is passionate about data, technology, and innovation. In this role, you will take ownership of our BI and Analytics environments, working hands-on with modern tools like Power BI, Azure Data Factory, and Databricks. You'll be part of a collaborative and performance-driven team, helping drive digital transformation across the organization.
- Proven experience in BI and Analytics engineering or a similar data-focused role
- Strong knowledge of
Power BI, SQL, and Python - Hands-on experience with
Databricks, Azure Data Factory
, and data integration tools like
Lobster
(or similar) - Ability to work with cross-functional teams and translate business requirements into technical solutions
- Strong analytical thinking and a proactive approach to process improvement
- Experience working with external vendors and ensuring high-quality technical deliverables
- Excellent communication, documentation, and stakeholder management skills
What you will be doing:
- Take full
ownership of the BI & Analytics tech stack
, including Power BI, Databricks, Azure services, handling tickets, managing bug fixes, and implementing new requirements. - Co-develop and maintain data models
that power our Power BI dashboards and advanced analytics solutions. - Code in
SQL and Python
within the
Databricks
environment to build and optimize data pipelines. - Collaborate with key stakeholders
(Executive, Product, Sales, Marketing) to understand data needs and offer technical support. - Build and maintain
large, complex datasets
for business and analytics use cases using ADF, Databricks, and Lobster. - Drive
internal process improvements
, such as automation of manual processes, optimization of data delivery, and infrastructure redesign. - Measure the
value and impact
of implemented solutions and help prioritize based on business needs. - Coordinate external vendors
to ensure scalable and reliable technical solutions are developed and maintained. - Ensure
quality, security, monitoring, testing, and release management
of all BI solutions. - Document all solutions and processes
, and manage smooth handovers to IT operations or external support teams. - Support and promote a strong
Data Culture
across the organization.
Train and support business users
in building Power BI dashboards based on our centralized data models.
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