At a Glance
- Tasks: Design and optimise data pipelines in a cutting-edge AI environment.
- Company: Join a dynamic team focused on Process Intelligence and innovation.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a multidisciplinary team with a focus on data quality and governance.
- Why this job: Make an impact by transforming data for AI and Data Science teams.
- Qualifications: Experience in data engineering and familiarity with AWS and ETL processes.
The predicted salary is between 36000 - 60000 £ per year.
In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will be involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team.
This role is within the Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring and Predictive AI.
- Design and maintain scalable data pipelines.
- Structure, transform, and optimize data in Snowflake.
- Implement multi-source ETL/ELT flows (ERP, APIs, files).
- Leverage the AWS environment, including S3, IAM, and various data services.
- Prepare data for Data Science teams and integrate AI/ML models into production.
- Ensure data quality, security, and governance.
- Provide input on data architecture.
Data Engineer (remote in UK) in Birmingham employer: QAD, Inc.
As a leading player in the data-driven and AI landscape, our company offers an exceptional work environment that fosters innovation and collaboration within a human-sized, multidisciplinary team. Employees benefit from flexible remote working arrangements, continuous professional development opportunities, and a culture that prioritises data quality and governance, making it an ideal place for Data Engineers to thrive and contribute meaningfully to cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (remote in UK) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and AWS. We want to see what you can do, so make it easy for potential employers to see your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. We recommend practising common data engineering problems and being ready to discuss your experience with ETL/ELT flows and data governance. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer (remote in UK) in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data engineering and showcases your skills with tools like Snowflake and AWS. We want to see how your background aligns with the role, so don’t be shy about emphasising your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our Process Intelligence team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's building data pipelines or implementing ETL flows, we want to know what you've done and how it relates to the job. Include links if possible!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at QAD, Inc.
✨Know Your Data Pipelines
Make sure you understand the ins and outs of data pipelines, especially in relation to Snowflake and AWS. Brush up on your ETL/ELT processes and be ready to discuss how you've designed or optimised data flows in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data quality, security, or governance. Companies love candidates who can think critically and provide solutions, so have a few scenarios ready to share that highlight your analytical skills.
✨Familiarise Yourself with AI and ML Integration
Since this role involves integrating AI/ML models into production, be prepared to discuss your experience with these technologies. If you’ve worked on projects involving predictive analytics or real-time monitoring, make sure to highlight those experiences.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s approach to process mining and how they leverage data for decision-making. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
