Key Responsibilities
- Design, build, and maintain scalable data pipelines and ingestion frameworks.
- Integrate and consolidate data from multiple SaaS applications, APIs, and operational systems.
- Develop and maintain Microsoft Fabric Lakehouse, Warehouse, Dataflow, and Pipeline solutions.
- Transform and model raw data into trusted, reporting-ready datasets.
- Build and optimise semantic models that power business-critical Power BI reporting.
- Collaborate with stakeholders to define KPIs, reporting requirements, and analytics solutions.
- Identify and resolve data quality, reconciliation, and consistency challenges.
- Lead technical and architectural decision-making across complex data initiatives.
- Monitor, optimise, and improve pipeline performance, reliability, and scalability.
- Promote best practices in data governance, modelling, and analytics architecture.
Job Experience and Skills Required
Education:
- Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field.
- Relevant practical experience will also be considered.
Experience:
- 57 years' experience in Data Engineering or Analytics Engineering roles.
- Proven experience delivering production-grade solutions using Microsoft Fabric.
- Strong background in data warehousing, Lakehouse architectures, and dimensional data modelling.
- Experience integrating data from REST APIs, SaaS platforms, and operational systems.
- Demonstrated ability to engage directly with business stakeholders and translate requirements into technical solutions.
- Experience working independently in complex, fast-moving environments.
Technical Skills:
- Microsoft Fabric (Lakehouse, Warehouse, Dataflows, Pipelines, Semantic Models).
- Advanced SQL development, optimisation, and performance tuning.
- Python for data engineering, automation, and integrations.
- Power BI and semantic modelling.
- Data warehousing and analytics architecture.
- REST API integrations and SaaS connectivity.
- Git version control and CI/CD workflows.
Advantageous Skills:
- Azure Data Factory, Synapse Analytics, or Databricks.
- Data quality, observability, and reconciliation frameworks.
- Experience with platforms such as Zendesk, HubSpot, Zoho, Intercom, or Aircall.
- Exposure to dbt or other modern analytics engineering tools.
Apply now!
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more