Senior Data Engineer - #1790852

We're looking for a Senior Data Engineer to join our data team to help design, develop, and implement solutions and tools for the business. Our purpose at Nucleus is to help the business make data driven decisions and support the wider team in delivering an exceptional customer proposition. We take an Agile approach to working which means we’re all involved in the analysis, development and testing of our data solutions. We experiment as we go to find the right solution, and we'd love for you to help us in our pursuit of achieving the best client outcomes utilising data.

Here are some of the things you'll get involved with in this role:

Responsibilities

• BI Development: Oversee the design and development of our BI stack, focusing on data transformation and development using SQL Server and the Microsoft BI stack.
• Advanced Data Modelling: Develop complex user self-service data models using tabular semantic models, Power BI dashboards, and paginated reports to provide actionable insights.
• Data Integration: Manage the extraction and integration of data from various business systems using APIs and SFTP.
• Maintain and Enhance Data Frameworks: Oversee the maintenance and enhancement of our existing data frameworks, infrastructure, and solutions to ensure data accuracy, availability, and timeliness.
• Code Review and Quality Assurance: Conduct in-depth peer reviews, and provide feedback and guidance to ensure the quality and reliability of data solutions.
• Project Management: Lead and execute BI projects, working closely with our Product Owner to manage planning and prioritisation. Ensuring alignment with business objectives and timelines.
• Mentorship and Training: Train, mentor, and support BI developers and analysts, fostering a culture of continuous learning and development.
• Participate and Lead Agile Ceremonies: Actively participate in and lead Agile ceremonies, such as sprint planning, backlog refinement, and retrospectives, to improve team efficiency and output.
• Cross-functional Collaboration: Collaborate closely with cross-functional teams to understand data requirements, gather feedback, and deliver impactful data insights.
• Data Literacy and Training: Educate and train business stakeholders on how to leverage data tools and insights effectively.

We’d like to hear from you if you have experience in the following technical areas:

Key Skills:

• Expertise in SQL and BI Tools: Advanced proficiency in SQL for writing, optimising, and troubleshooting complex queries. Extensive experience with SQL Server and Power BI. Working knowledge of Microsoft Fabric, Azure Data Factory, Synapse, or equivalent cloud tools.
• ETL and Data Pipeline: Strong experience in designing, building, and managing ETL processes and data pipelines, ensuring data integrity and quality.
• Deep Knowledge of Data Warehousing: In-depth understanding of data warehousing principles, dimensional modelling, and best practices in data architecture.
• Advanced Dashboard and Semantic Model Development: Proven experience in developing sophisticated dashboards in Power BI, creating tabular semantic models, and writing DAX measures or equivalent tools.
• Proficiency in Scripting and Automation: Strong knowledge of scripting languages like PowerShell, Python, and C# for automation and advanced data manipulation tasks.
• Quality Assurance and Testing: Excellent skills in developing test plans, conducting tests, and ensuring the quality and accuracy of data solutions.
• Analytical Thinking and Problem Solving: Exceptional analytical and problem-solving skills with a proven ability to solve complex data-related challenges.
• Project Management Skills: Experience in managing BI projects, including task prioritisation, stakeholder management, and project delivery.
• Effective Communication and Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams, stakeholders, and business users.