Data Migration Specialist managing ongoing Salesforce data quality initiatives for Abby Care. Executing and validating data migrations while ensuring data accuracy.
About the role
- Data Engineer at Barnet Council developing Microsoft Azure data platforms and robust data pipelines for analytics. Collaborating on data solutions and improving data quality across organization.
Responsibilities
- Develop and maintain the council’s Microsoft Azure Data Platform, supporting cloudready, scalable analytics.
- Build and optimise data pipelines, APIs and integrations across onpremise, cloud and supplierhosted systems.
- Extract, clean, transform and combine data from a wide range of operational systems to create highquality datasets for insight and machine learning.
- Work with data scientists to design and maintain pipelines for AI/ML models, including supporting feature engineering, labelling and largescale data flows.
- Automate manual data processes to improve speed, reliability and accessibility of insight.
- Lead data engineering projects, including working with external suppliers and supporting more junior colleagues.
- Implement and maintain data lakehouse architectures, master data management and metadata repositories.
- Ensure that data workflows comply with security, privacy and governance standards, including anonymisation where required.
- Optimise the performance of code, pipelines and data systems, resolving issues, bugs and outages.
- Contribute to the development of data strategy, standards and reusable engineering frameworks across the Hub.
- Work with colleagues across ICT, Connected Places and service teams to join up data and support emerging technologies (e.g., IoT, geospatial, AI).
- Support the creation of visualisations and reusable analytical products that enhance decisionmaking.
Requirements
- Strong handson experience with modern data engineering tools and practices, including ETL/ELT, data warehousing and data modelling.
- Expertise in cloud data platforms, ideally Azure services such as Data Factory, Synapse, Databricks, Spark or Snowflake.
- Proficiency in Python, SQL and other relevant languages for building pipelines and enabling automation.
- Experience building and managing production data services, integrating data from multiple systems, and improving data quality.
- Understanding of data governance, security, information management and UK GDPR.
- The ability to communicate complex technical concepts clearly for nonspecialist audiences.
- A collaborative and proactive approach, with confidence leading projects, supporting partners and driving continuous improvement.
Benefits
- 31 days annual leave, plus public and bank holidays
- Access to the Local Government Pension Scheme, which provides a valuable guaranteed income in your retirement together with security for your dependents
- Work-life balance options may include hybrid working, flexitime, job share, home working, part-time
- A vast range of lifestyle discounts from major retailers, supermarkets, energy suppliers and more
- Broad range of payroll benefits including cycle to work, eye care vouchers, travel and gym membership
- Excellent training and development opportunities
- Employee well-being training programs including confidential employee assistance
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