At a Glance
- Tasks: Design and implement high-performance data integration solutions using cutting-edge tools.
- Company: Join a global leader in data engineering with a collaborative culture.
- Benefits: Long-term freelance contract, hybrid work model, and competitive rates.
- Other info: Mentorship opportunities and excellent career growth in a dynamic environment.
- Why this job: Make an impact by building innovative data pipelines and collaborating with diverse teams.
- Qualifications: Strong SQL skills and experience with ETL tools like Talend or AWS Glue.
The predicted salary is between 40000 - 50000 € per year.
Data Engineer required in the West Midlands (Birmingham, Wolverhampton, Walsall, Coventry, Telford, Shrewsbury, Worcester etc) to join a global customer developing a framework for their long-standing partnership with their end customer. This is a long-term freelance contract with a hybrid working model, offering excellent rates.
Key Requirements:
- Designing and implementing secure, high-performance data integration solutions (batch and/or near Real Time)
- Building, operating, and continuously improving data pipelines (ingestion, transformation, curation)
- Implementing monitoring, alerting, and SLA-driven reliability practices
- Collaborating with product teams and client stakeholders to refine requirements and align solutions to non-functional requirements (cost, performance, security)
- Supporting incident resolution and ensuring service continuity
- Participating in Agile ceremonies and working cross-functionally with engineers, analysts, and business teams
- Mentoring colleagues and contributing to engineering best practices and communities of practice
- Strong SQL skills and hands-on experience in data modelling
- Proven experience with ETL/ELT tools (at least one of: Talend, Pentaho DI, Informatica, AWS Glue, SAS)
- Experience with enterprise databases or data platforms (ideally Oracle or Cloudera)
- Knowledge of cloud platforms, preferably AWS
- Proficiency in programming/Scripting languages such as Python or Bash
- Strong understanding of data engineering fundamentals: integration, transformation, orchestration, version control
- Able to commute to site location in Telford 2 days per week
- Excellent client-facing communication and consultancy skills
Data Engineer (GenAI, AWS, SQL) employer: MRP Technology Ltd
Join a forward-thinking global company as a Data Engineer in the vibrant West Midlands, where you will have the opportunity to work on innovative data integration solutions while enjoying a hybrid working model. With a strong emphasis on employee growth and collaboration, this role offers excellent rates and the chance to mentor colleagues, ensuring a supportive and dynamic work culture that values your contributions. Experience the unique advantage of being part of a long-term partnership with a diverse range of clients, all while enjoying the rich cultural and professional opportunities that the West Midlands has to offer.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (GenAI, AWS, SQL)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Data Engineer gig.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving SQL, AWS, and ETL tools like Talend. Having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Ace the Interview
Prepare for common interview questions related to data engineering and be ready to discuss your experience with data pipelines and cloud platforms. Practice makes perfect, so consider doing mock interviews with friends or using online resources.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you access to exclusive roles but also shows you're serious about joining our community!
We think you need these skills to ace Data Engineer (GenAI, AWS, SQL)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data ETL, SQL, and AWS. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Engineer role. Mention your hands-on experience with tools like Talend and your understanding of cloud platforms, especially AWS.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled challenges in data integration or pipeline improvement. We love seeing how you’ve contributed to service continuity and incident resolution in past roles!
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 regarding your application status!
How to prepare for a job interview at MRP Technology Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL, AWS, and ETL tools like Talend. Brush up on your data modelling skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data integration or pipeline issues. Think about times when you implemented monitoring or improved service reliability, as these are key aspects of the role.
✨Understand Agile Methodologies
Since the role involves participating in Agile ceremonies, it’s crucial to demonstrate your understanding of Agile principles. Be ready to discuss how you’ve worked cross-functionally with teams and contributed to project success in an Agile environment.
✨Communicate Effectively
Strong client-facing communication is essential. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. Show that you can bridge the gap between technical and business needs.