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- Tasks: Create and enhance bespoke reporting solutions using SQL and Power BI.
- Company: Join a forward-thinking financial services company with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and mentor junior staff while advancing your career.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Experience in SQL, data pipelines, and a passion for problem-solving.
The predicted salary is between 50000 - 65000 ÂŁ per year.
Principal Tasks: Deploy, integrate, and support our reporting suite by creating bespoke MI reporting solutions based on our customers’ needs or enhance existing reports and processes.
Responsibilities:
- Write SQL scripts and stored procedures to interface with the MSS system and, where appropriate, with subsidiary systems, to meet documented program specifications using Oracle SQL, Microsoft SQL, and Power BI as appropriate.
- Creation and/or validation of pipelines to support service level artifact promotion such as Power BI Dashboards.
- Assist with preparations prior to, and during, any Technical Design Authority approvals.
- Liaise with users to ensure a full understanding of the operation of their reports and of how in‑house developed programs operate to assist users in their understanding of them.
- Support the ongoing maintenance of low‑level design documents for Data Platforms.
Key Skills & Experience:
- Ability to accurately estimate deliverables.
- Ability to communicate with business stakeholders and interpret requirements into technical specifications.
- Ability to work through the whole SDLC (Software development lifecycle) including an understanding of pipeline deployments.
- In‑depth understanding of schema creation for databases, managing permissions.
- Able to create data transformations and data pipelines.
- Experience in data ingestion (structured and unstructured data) from various sources such as Blob storage, Excel and others to SQL.
- Strong knowledge of SQL Server processes and working with complex datasets, ability to integrate SQL with Excel and create SQL data repositories that could integrate with a Data Warehouse.
- Experience working within a client‑facing delivery focused role.
- High degree of hands‑on technical guidance and/or vision with broad subject‑matter expertise in data.
- Self‑motivated and organised person with excellent analytical and problem‑solving skills.
- Strong interpersonal skills: role will require engagement with a varied and senior stakeholder base.
- Documentation skills to provide high quality documentation for internal customers and technical teams.
- Openness to learning and managing new technologies as business requirements change.
- Ability to mentor and support junior and/or inexperienced staff within the team to ensure their development needs are met.
- Experience working in Financial Services.
- Worked in an Agile environment and have a good understanding of unit testing.
- Understanding of Power Automate and Microsoft Fabric.
Data Engineer in Epsom employer: Family Building Society
Contact Detail:
Family Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Epsom
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL scripts, data pipelines, and any Power BI dashboards you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with SQL Server processes and how you’ve tackled complex datasets. We want you to shine when it comes to those tricky questions!
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in Epsom
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with SQL, data pipelines, and reporting solutions. We want to see how your skills match the specific needs of the Data Engineer role!
Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! Include examples of your work with Oracle SQL, Microsoft SQL, and Power BI. We love seeing how you’ve tackled complex datasets and created data transformations.
Communicate Clearly: When writing your application, keep it clear and concise. We appreciate straightforward communication, especially when it comes to explaining your past experiences and how they relate to the job at hand.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Family Building Society
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills, especially with Oracle SQL and Microsoft SQL. Be prepared to discuss how you've used these in past projects, and maybe even solve a few SQL problems during the interview.
✨Understand the SDLC
Since the role involves working through the whole Software Development Lifecycle, it’s crucial to understand each phase. Be ready to explain your experience with pipeline deployments and how you’ve contributed to different stages of the SDLC in previous roles.
✨Communicate Like a Pro
This job requires liaising with business stakeholders, so practice explaining technical concepts in simple terms. Think about examples where you’ve successfully communicated complex data solutions to non-technical users.
✨Show Off Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Highlight your analytical skills and be ready to demonstrate your approach to troubleshooting and optimising data processes.