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- Tasks: Design and maintain data pipelines for AI-driven solutions across multiple operations.
- Company: Leading tech firm focused on innovative MRO AI solutions.
- Benefits: Competitive daily rate, travel opportunities, and a dynamic work environment.
- Why this job: Join a cutting-edge team and shape the future of data engineering in AI.
- Qualifications: 12+ years of experience in data engineering and strong AWS skills required.
- Other info: Opportunity for growth and collaboration with top data scientists.
The predicted salary is between 36000 - 60000 £ per year.
Needs to travel to Europe once a month (European country).
Rate: 450-500 Per day inside IR35.
Duration: Initially 6 months.
Experience: 12+ years of experience mandatory.
Excellent AWS experience.
Role Purpose:
The Data Engineer / Data Analyst will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical depth combined with strong delivery discipline.
Key Responsibilities:
- Discover, connect to, and process data from various sources: relational databases, flat files (CSV, YML, XLS), etc.
- Identify and remediate data quality/completeness issues.
- Challenge data provenance and assumptions in legacy data sets compared to current needs.
- Translate business needs for data presentation and narrative into non-technical KPIs, charts, and dashboards.
- Create metadata/documentation for all derived outputs.
- Collaborate with Data Scientists and Visualisation specialists to enable advanced analytics.
- Support integration of MRO AI Solutions operational workflows.
- Develop and optimize data pipelines for ingestion, transformation, and storage.
- Ensure data quality, integrity, and security across systems.
- Implement best practices for scalability and performance in cloud environments.
- Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability.
Required Skills:
Data Engineer employer: Avensys Consulting UK
Contact Detail:
Avensys Consulting UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, architectures, and any AI-driven solutions you've worked on. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your AWS knowledge and data quality best practices. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to their team.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your 12+ years of experience and showcase your AWS expertise. We want to see how your skills align with our needs!
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 role. Share specific examples of your past work that relate to data pipelines and AI solutions.
Showcase Your Technical Skills: Don’t hold back on your technical skills! Clearly outline your experience with data processing, quality assurance, and cloud environments. We love seeing candidates who can demonstrate their technical depth.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Avensys Consulting UK
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data sources mentioned in the job description, like relational databases and flat files. Be ready to discuss how you've previously discovered, connected to, and processed data from these sources.
✨Showcase Your AWS Expertise
Since excellent AWS experience is a must, prepare specific examples of how you've used AWS services in your past projects. Highlight any data pipelines or architectures you've built using AWS tools, and be ready to explain the impact they had on your previous roles.
✨Prepare for Technical Depth Questions
Expect questions that challenge your technical knowledge and problem-solving skills. Brush up on data quality issues and how to remediate them, as well as how to translate business needs into non-technical KPIs. Practising with real-world scenarios can help you articulate your thought process.
✨Collaboration is Key
This role involves working closely with Data Scientists and Visualisation specialists, so be prepared to discuss your experience in collaborative environments. Share examples of how you’ve worked with cross-functional teams to enable advanced analytics and support operational workflows.
