Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines for AI-driven solutions across multiple companies.
- Company: Leading tech firm in the aviation sector with a focus on innovation.
- Benefits: Competitive daily rate, travel opportunities, and a chance to work with cutting-edge technology.
- Why this job: Join a dynamic team and make a real impact in the data engineering field.
- Qualifications: 12+ years of experience in data engineering and strong AWS skills required.
- Other info: Opportunity for international travel and collaboration with top professionals.
The predicted salary is between 72000 - 84000 £ per year.
Location: London, Heathrow, UK
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
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 & Experience:
- Experience in data/business analysis in a product setting.
- Strong skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools).
- Strong experience in data processing workflows/tools (SQL, Pandas, etc.).
- Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases.
- Comfortable working independently and communicating with non-technical stakeholders.
- Strong knowledge of data modeling and API integration.
- Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages.
- (Preferred) Expertise in Python, SQL, and modern ETL frameworks.
- (Preferred) Hands-on experience with cloud platforms (AWS preferred).
- Familiarity with airline or logistics data domains is a plus.
- Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
- Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment.
Preferred Consulting-Level Competencies:
- Ability to design enterprise-grade data solutions under tight timelines.
- Strong stakeholder engagement and solution-oriented mindset.
- Experience in advisory or consulting roles for data engineering projects.
- Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one.
- Ability to implement standards and frameworks for scalable data solutions across multiple operating companies.
Data Engineer in London employer: Avensys Consulting UK
Contact Detail:
Avensys Consulting UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving AWS and data pipelines. Having tangible examples of your work can really set you apart from the competition.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL, Python, and data visualisation skills. Practice common interview questions and be ready to discuss how you’ve tackled data quality issues or built scalable solutions in the past.
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us – it’s a great way to get noticed and land that dream job as a Data Engineer!
We think you need these skills to ace Data Engineer in London
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 skills prominently. We want to see how your background aligns 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. Mention specific projects where you've designed data pipelines or worked with AI solutions, as this will grab our attention.
Showcase Your Technical Skills: Don’t hold back on your technical skills! Make sure to list your experience with SQL, Python, and any data visualisation tools like PowerBI or Tableau. We love seeing candidates who can hit the ground running with their expertise.
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 out on 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 data sources and tools mentioned in the job description. Brush up on your experience with AWS, SQL, and data visualisation tools like PowerBI or Tableau. Being able to discuss specific projects where you've used these technologies will show your depth of knowledge.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of data pipelines, ETL processes, and data quality issues. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've tackled data quality and completeness issues in past roles. Prepare examples that highlight your ability to challenge assumptions and improve legacy datasets, as this is crucial for the role.
✨Demonstrate Collaboration Experience
Since the role involves working closely with Data Scientists and Visualisation specialists, be prepared to share examples of successful collaborations. Highlight how you’ve contributed to team projects and how you ensure smooth communication across different functions.
