At a Glance
- Tasks: Join our data team to design and implement innovative data solutions.
- Company: Nucleus Financial, a leader in retirement-focused platforms.
- Benefits: Flexible working, health initiatives, generous leave, and a supportive culture.
- Why this job: Make a real impact on data-driven decisions and enhance customer experiences.
- Qualifications: Expertise in SQL, BI tools, and strong analytical skills required.
- Other info: Collaborative Agile environment with opportunities for mentorship and growth.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Join to apply for the Senior Data Engineer – 6 month FTC role at Nucleus Financial. We are looking for 2 Senior Data Engineers to join our data team on a 6 month fixed term contract as we develop our existing data warehouse, as part of an ongoing transformation project. You’ll use your initiative to work independently refining requirements, designing, developing, and implementing data models and reporting 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 would love for you to help us in our pursuit of achieving the best client outcomes utilising data.
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 in 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.
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.
About Nucleus and Inclusion
Our purpose at Nucleus is to help make retirement more rewarding, with a vision to build the best retirement-focused platform in the UK. We believe in inclusion and diversity and view it as a commercial imperative that helps us stay future-relevant and durable. Learn more on our inclusion page.
Benefits
We offer a generous blend of benefits for the things that matter to our people, including pension, bonus, enhanced parental leave, paid time off for emergencies, health and wellbeing initiatives and flexible working options.
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Senior Data Engineer - 6 month FTC employer: Nucleus Financial
Contact Detail:
Nucleus Financial Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - 6 month FTC
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with some real-world projects. Whether it's contributing to open-source or building your own data models, showcasing your skills through practical work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews by brushing up on your SQL and BI tools knowledge. Be ready to discuss your past projects and how you've tackled challenges in data integration and modelling. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Nucleus.
We think you need these skills to ace Senior Data Engineer - 6 month FTC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, BI tools, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work, especially if it involves BI development or data modelling. We’re keen to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Nucleus Financial
✨Know Your Data Inside Out
Before the interview, brush up on your SQL and BI tools knowledge. Be ready to discuss your experience with SQL Server, Power BI, and any cloud tools like Azure Data Factory. Prepare examples of how you've used these tools to solve complex data challenges.
✨Showcase Your Project Management Skills
Since this role involves leading BI projects, think of specific instances where you managed project timelines and stakeholder expectations. Be prepared to explain your approach to prioritising tasks and ensuring alignment with business objectives.
✨Demonstrate Your Agile Mindset
Familiarise yourself with Agile methodologies and be ready to discuss your experience in Agile ceremonies. Share how you've contributed to sprint planning or retrospectives, and how you’ve collaborated with cross-functional teams to deliver impactful data insights.
✨Prepare for Technical Challenges
Expect technical questions or even a practical test during the interview. Brush up on your ETL processes, data modelling, and scripting languages like Python or PowerShell. Being able to demonstrate your problem-solving skills in real-time will set you apart.