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Senior Data Engineering Specialist
1 month ago
Are you passionate about building cutting-edge data solutions that drive innovation? We're looking for a skilled Data Engineer to join our team at Saffron Building Society, working on our new cloud-data platform. You will be at the forefront of transforming raw data into actionable insights, powering decisions across the organisation.
Key Responsibilities:
Designing, implementing, and maintaining data pipelines and extract, load, transform (ETL) processes to ensure efficient and accurate data flow.
Implementing and optimising ETL processes with dbt, transforming raw data into actionable insights, ensuring data quality and accuracy.
Developing and maintaining data models and data architectures within Azure Synapse to support business needs using Kimball methodology and Slowly Changing Dimensions (SCD Type 2).
Working closely with IT Infrastructure, analysts, business intelligence developers, and other stakeholders to understand their data requirements and provide technical solutions.
Monitoring data systems and pipelines for performance and reliability, addressing any issues promptly to minimise business disruption.
Maintaining and documenting data engineering processes, workflows, and data models ensuring transparency and facilitate knowledge sharing, leveraging the lineage and documentation functionality of dbt docs.
Using Visual Studio Code for code development, debugging, and version control, ensuring efficient and effective coding practices in Structured Query Language (SQL) / Python.
Ensuring activity aligns to Devops and agile best practices, including backlog planning, sprints, git integration, branching, pull requests.
Integrating and automating workflows with Microsoft tools (Power BI, Azure Data Factory, etc.) for efficient data management and reporting.
Collaborating with stakeholders to define data requirements, ensure data quality, and support governance processes.
Providing technical support to cross-functional teams, ensuring data solutions meet business needs.
Designing and implementing automated data validation testing.
Requirements:
Proficiency in Microsoft Azure Synapse, dbt, and Visual Studio Code.
Strong skills in SQL, Python, or similar languages used for data manipulation and processing.
Experience with data integration tools and techniques for combining data from multiple sources.
Ability to design and maintain complex data models and schemas.
Expert knowledge of Microsoft Azure cloud services, with a focus on Azure Synapse, Data Factory, Power BI Service, and other related data services.
General understanding of data transformation and modelling best practices, particularly with dbt.
General understanding of data governance principles and practices to ensure data quality, integrity, security, and compliance.
Expert knowledge of performance tuning techniques for databases and data pipelines to optimize efficiency, ideally using Synapse, Massively Parallel Processing (MPP), and other distributed compute techniques.
General understanding of software development lifecycle, including best practices for code development, deployment, and environment management.
Intermediate knowledge of APIs and the integration of API-sourced data into analytical models.
General understanding of modern data architectures, such as data lakes, warehouses, and cloud-based solutions.
General understanding of emerging trends, tools, and technologies in the Business Intelligence space.
Expert understanding of stakeholder management principles in the context of data projects.
Intermediate knowledge of popular Python libraries such as Pandas, NumPy, and Pytest.
Benefits:
33 days holiday including bank holidays.
Holiday Exchange Scheme (buy or sell holiday days).
Performance Dependent Annual Bonus.
Company Pension Scheme with 5% Employee and 8% Employer contribution.
Life Assurance & Income Protection.
A flexible and supportive working culture including access to mental health first aiders.
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