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- Tasks: Join a team to build and maintain data flows for business analysis.
- Company: Work with a leading Financial Services organisation in the UK.
- Benefits: Enjoy hybrid working and a competitive salary of up to £40K.
- Why this job: Be part of impactful projects and collaborate with stakeholders at all levels.
- Qualifications: Analytical skills and knowledge of SQL/SAS preferred; financial services experience is a plus.
- Other info: This role is urgent, so apply quickly!
The predicted salary is between 24000 - 40000 £ per year.
Change Digital are working closely with a Financial Services organisation in the UK who are looking for a Data Engineer to join their existing team. You will have the opportunity to play a pivotal role in building and maintaining the data flows and data acquisition processes to deliver well-structured, efficient and performant data marts to drive business analysis and processes.
Reporting to the Data Engineering Lead(s) for direction in terms of priorities or technical support, and support them through delivery of projects/work within deadlines, prompt escalation of risks or issues and ensuring that day to day activities are delivered within SLAs.
The majority of their data flow scripts are currently in SAS. You’ll liaise with stakeholders at all levels of the organisation, delivering end to end data requests and ensuring single version of the truth across the organisation.
- Application Software Development: Research and suggest technical developments to improve quality of the website/portal/software and supporting infrastructure to better meet users’ needs.
- Project Management: Support others by carrying out a range of project management activities.
- Technical Database Support: Design distribution of basic database resources and provide physical modelling and design services to tune database applications for optimum performance.
- Data Architecture: Maintain a data recording process/system, performing functions such as data archiving and updating.
- Data Collection and Analysis: Produce accurate reports for others by collecting data from a variety of standard sources and inputting it into standard formats.
- Data Management: Help others get the most out of data management systems by providing support and advice.
Ability to analyse and interpret data with good investigative and analytical skills and make recommendations. In-depth knowledge of Microsoft Office (particularly Excel). Some knowledge of SQL / SAS is preferred but not essential. Insurance or other financial services experience would be beneficial.
Data Engineer - Python, AWS, SQL employer: Change Digital – Digital & Tech Recruitment
Contact Detail:
Change Digital – Digital & Tech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Python, AWS, SQL
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, AWS, and SQL. Having hands-on experience or projects showcasing your skills in these areas can significantly boost your chances.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work with data engineering. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Prepare to discuss your problem-solving skills and how you've handled data-related challenges in the past. Be ready to provide examples of how you’ve improved data processes or contributed to project management activities.
✨Tip Number 4
Research the company’s current data architecture and any recent projects they’ve undertaken. This knowledge will help you tailor your conversations during interviews and demonstrate your genuine interest in their work.
We think you need these skills to ace Data Engineer - Python, AWS, SQL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills related to data engineering, particularly in Python, AWS, and SQL. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are interested in the Data Engineer position and how your background aligns with the company's needs. Mention any experience with data flows, data acquisition processes, or financial services.
Showcase Technical Skills: In your application, emphasise your technical skills, especially in data management and analysis. If you have experience with SAS, SQL, or Microsoft Office, make sure to include specific examples of how you've used these tools effectively.
Highlight Problem-Solving Abilities: Demonstrate your analytical skills by providing examples of how you've tackled data-related challenges in previous roles. This could include improving data quality, optimising database performance, or managing data projects.
How to prepare for a job interview at Change Digital – Digital & Tech Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, AWS, and SQL during the interview. Be prepared to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Business Context
Research the financial services organisation and understand their data needs. Being able to articulate how your role as a Data Engineer can contribute to their business goals will impress the interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare for scenarios where you might need to design data flows or troubleshoot issues, and think through your approach to these challenges.
✨Demonstrate Communication Skills
Since you'll be liaising with stakeholders at all levels, it's crucial to show that you can communicate complex technical concepts in a clear and concise manner. Practice explaining your past projects to someone without a technical background.
