At a Glance
- Tasks: Join us as a Data and Solutions Engineer to drive innovative data solutions.
- Company: Market-leading financial services firm with a focus on technology and growth.
- Benefits: Competitive salary, bonus potential, flexible working, and professional development opportunities.
- Why this job: Be at the forefront of cloud technology and AI-driven solutions in finance.
- Qualifications: 3+ years in data engineering, strong Python skills, and team collaboration experience.
- Other info: Enjoy a vibrant office culture with free coffee and beer on tap!
The predicted salary is between 34000 - 51000 £ per year.
📢 Ready to help us pipeline our way to success? Read on to find out more about our new position, Data and Solutions Engineer.
The investment arm of a market leading financial services company is expanding. With over £1 billion assets under management, we are committed to delivering innovative solutions and driving business growth through data. With a strong focus on adopting the latest technologies, we are transitioning our data infrastructure from hosted SQL Server to a modern cloud-based environment on Azure.
🚶Could this be the next step in your career?
We are seeking an experienced Data Engineer to join our Engineering team with the primary focus of providing technical support to the Investment & Decision Science teams driving investment and analytical decisions.
You will play a crucial role in providing technical and analytical solutions to challenges faced by the investment team operating at the heart of the investment process, supporting our migration to cloud technologies and assisting with any future applications of AI-driven technologies.
The ideal candidate will have a strong foundation in traditional data engineering skills while being able to adapt to modern tools such as Azure Data Factory, Power BI, and Databricks, with Python as the primary coding language. This role requires hands-on experience with database design, ETL development, data integration, and a passion for data quality and governance.
🗓 So, what will your day-to-day look like?
- Data Best Practices: Ensure best practices are followed in data creation, management, and database performance.
- Data Solution Design: Translate high-level data solutions into detailed low-level designs and work packages and supporting the production of analytical outputs , operational insights and visualisations to be utilised by the investment team.
- ETL Development: Build and manage high-quality, secure, and governed ETL processes using on-premise and cloud-based data sources.
- Data Quality & Monitoring: Design data observability and quality checks into all ETL processes, enabling proactive identification of discrepancies.
- Performance Optimisation: Optimise data platforms, ETL processes, and database solutions for reusability and performance.
- Financial Calculations: Writing robust and repeatable formulae, prescribed by the Investment team to calculate a range of valuation metrics, to be referenced by the investment team throughout the valuation and decision making process (examples including IRR’s, NPV’s and ROI’s).
👆Does this sound like you?
- 3+ years of experience designing and deploying business data ETL packages and data-based systems.
- Strong proficiency in Python, T-SQL, and other traditional Microsoft SQL Stack technologies.
- Excellent analytical and problem-solving skills.
- A solid understanding of data quality and governance practices.
- Proven ability to work effectively in teams, demonstrating strong interpersonal and collaboration skills.
- Familiarity with Microsoft Azure tools such as Azure Data Factory, Power BI, Data Pipelines, and Data Lake.
- Experience with Azure Data Lake and Delta Lake design pattern implementation, including file hierarchy and low-level permissions management (desirable).
- Experience in building CI/CD pipelines in Azure DevOps with managed identity (desirable).
⏳ The Application Timeline
- A first stage video call with the internal talent acquisition team (15 minutes)
- A second stage introductory video call with the hiring manager (30 minutes)
- A face to face formal interview with the hiring manager (60 minutes)
Typically, the average successful applicant will be within this timeline for 2-3 weeks. Please note we will close this role once we have enough applications for the next stages therefore you should submit your application ASAP to avoid any disappointment.
If you do not receive a response after 3 weeks of applying, please assume you have been unsuccessful as we may experience a high volume of applications.
💥Why you should be EXCITED to apply…
💵£50,000 DOE + up to 20% of your annual salary, paid as a bonus.
📍This role is based at our Manchester Spinningfields office. Did we mention the free coffee bar and beer tap? Don\’t believe us? See for yourself! https://www.linkedin.com/feed/update/urn:li:activity:7350451348598837248
🕰37.5 hours per week. We offer flexible and hybrid working between our core hours of 8am- 6pm, Monday to Friday.
🎓The opportunity to complete formal qualifications and learn on the job in a successful, growing organisation.
♾And many more benefits to support your wellbeing and professional development.
We are an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status.
If you have any questions or suggestions of how we can assist you in your application due to disability or personal reasons, please email .
PLEASE NOTE – All new employees must undergo a full DBS and Credit Check upon acceptance of a job offer with Perch Group.
Data and Solutions Engineer employer: Perch Group
Contact Detail:
Perch Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and Solutions Engineer
✨Tip Number 1
Get to know the company inside out! Research their values, recent projects, and the tech stack they use. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Practice makes perfect! Prepare for common interview questions related to data engineering and be ready to discuss your past experiences with ETL processes and cloud technologies. Mock interviews with friends or using online platforms can really boost your confidence.
✨Tip Number 3
Don’t forget to showcase your problem-solving skills! Be ready to tackle a technical challenge or case study during the interview. Think aloud as you work through it; this shows your thought process and how you approach complex issues.
✨Tip Number 4
Follow up after your interviews! A quick thank-you email reiterating your interest in the role and mentioning something specific from your conversation can leave a lasting impression. Plus, it shows your enthusiasm for the position!
We think you need these skills to ace Data and Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data and Solutions Engineer role. Highlight your experience with Python, ETL processes, and any Azure tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background makes you a perfect fit. Don't forget to mention your passion for data quality and governance!
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It helps us keep track of applications and ensures you get all the updates directly from us. Don’t miss out!
How to prepare for a job interview at Perch Group
✨Know Your Data Tools
Make sure you brush up on your knowledge of Azure Data Factory, Power BI, and Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your ETL Skills
Prepare to talk about your experience with ETL development. Have specific examples ready that demonstrate your ability to build and manage high-quality ETL processes, especially in both on-premise and cloud environments.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical and problem-solving skills. Think of scenarios where you identified data discrepancies or optimised database performance, and be ready to explain your thought process.
✨Engage with the Team
Since collaboration is key in this role, be prepared to discuss how you've worked effectively in teams. Share examples of how you’ve communicated complex data solutions to non-technical stakeholders, showcasing your interpersonal skills.