At a Glance
- Tasks: Design and develop real-time data pipelines and enhance Power BI dashboards.
- Company: Leading tech firm in London with a focus on data innovation.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Onsite role in a collaborative atmosphere with exciting projects.
- Why this job: Join a team driving AI solutions and impactful data analytics.
- Qualifications: 5-7 years in Data Engineering with strong Python and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
Experience: 5 -8 Years
Job type: Permanent
About the Role
We are looking for an experienced
Azure Data Engineer with strong expertise in Azure Data Services, Data Warehousing, ETL Development, and Data Visualization.
The ideal candidate should be capable of designing scalable data solutions and delivering business-critical analytics platforms.
Experience: 5 -7 Years
Job type: Permanent
Key Responsibilities
- Design and develop real-time and ETL/ELT data pipelines integrating multiple data sources (APIs, databases, flat files).
- Support the development and maintenance of a scalable data warehouse for reporting and analytics.
- Build and enhance
Power BI dashboards and reports for business stakeholders.
- Develop data integration workflows using
Azure Data Factory, Logic Apps, and Azure Functions .
- Perform data processing and transformation using
Python and SQL .
- Contribute to AI-driven solutions using
Open AI APIs for automation, NLP, and insights.
- Assist in building AI agents for post-sales call audits and analysis .
- Collaborate with cross-functional teams including analysts, product managers, and data scientists.
- Monitor pipeline performance and ensure data quality, consistency, and reliability .
- Follow best practices for data governance, security, and compliance .
- Required Qualifications
- 5 – 7 years of experience in
Data Engineering or similar roles .
- Hands-on experience in building
ETL/ELT data pipelines .
- Strong proficiency in
Python for data manipulation and automation.
- Solid
SQL skills for querying and managing data.
• Experience with Azure ecosystem
- Azure Synapse / Data Lake (preferred exposure)
- Experience in
Power BI for reporting and dashboards.
- Basic exposure to
Open AI APIs / AI/ML concepts .
- Good understanding of data warehousing concepts .
- Strong analytical and problem-solving skills .
- Preferred Qualifications
- Exposure to
Dev Ops / CI-CD pipelines .
- Familiarity with
Databricks / Microsoft Fabric .
- Understanding of data privacy regulations (GDPR) and secure data handling practices.
- #J-18808-Ljbffr
Azure Data Engineer employer: Accion Labs
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in the heart of London. As a Data Engineer, you'll benefit from hybrid working arrangements, competitive salary, and ample opportunities for professional growth in a supportive environment that encourages creativity and skill development.
