At a Glance
- Tasks: Design data solutions and enhance ETL pipelines with a collaborative team.
- Company: Join Raymond James UK, a growing company focused on data innovation.
- Benefits: Competitive salary, career growth, and the chance to shape data strategies.
- Why this job: Make a real impact on analytics and decision-making processes.
- Qualifications: Experience in SSIS, T-SQL, and a degree in Computer Science or similar.
The predicted salary is between 50000 - 60000 £ per year.
Raymond James UK is seeking a skilled Data Engineer to join a collaborative data warehousing team. You will partner with Data Analysts to design data solutions and uplift existing ETL pipelines. The role requires strong experience in SSIS and T-SQL, along with a degree in Computer Science or similar.
Your contributions will be crucial in shaping how data flows across the organization, influencing analytics and decision-making processes. The position offers a chance to impact long-term data strategies within a growing company.
Data Engineer: ETL & Data Warehouse Modernisation employer: Raymond James UK
Raymond James UK is an excellent employer that fosters a collaborative work culture, where your expertise as a Data Engineer will directly influence data strategies and decision-making processes. With a strong emphasis on employee growth, you will have access to ongoing training and development opportunities, all while working in a dynamic environment that values innovation and teamwork. Located in the heart of the UK, this role offers the unique advantage of being part of a growing company that prioritises meaningful contributions and career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: ETL & Data Warehouse Modernisation
✨Tip Number 1
Network like a pro! Reach out to current employees at Raymond James UK on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with SSIS and T-SQL. This will demonstrate your expertise and passion for data engineering.
✨Tip Number 3
Be ready for the interview! Brush up on common data engineering questions and be prepared to discuss how you've uplifted ETL pipelines in the past. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace Data Engineer: ETL & Data Warehouse Modernisation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SSIS and T-SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data solutions or ETL processes. We’re looking for innovative thinkers who can uplift existing pipelines and drive improvements.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Raymond James UK
✨Know Your ETL Inside Out
Make sure you brush up on your ETL processes, especially SSIS. Be ready to discuss how you've improved or modernised ETL pipelines in the past. Having specific examples will show that you can bring real value to their data warehousing team.
✨T-SQL Mastery is Key
Since T-SQL is a big part of the role, practice writing queries and optimising them. You might be asked to solve a problem on the spot, so being comfortable with T-SQL will help you shine during the interview.
✨Collaborative Spirit
This role involves working closely with Data Analysts, so be prepared to talk about your teamwork experiences. Share examples of how you've collaborated on projects and how you’ve contributed to successful outcomes. It’s all about showing you can fit into their collaborative culture.
✨Impactful Contributions
Think about how your work has influenced decision-making in previous roles. Be ready to discuss specific instances where your data solutions made a difference. This will demonstrate your understanding of the importance of data in shaping strategies within an organisation.
