At a Glance
- Tasks: Transform data using AWS and AI tools, driving modernisation in a hands-on role.
- Company: Join a leading enterprise focused on innovative data solutions.
- Benefits: Flexible hybrid work, competitive pay, and opportunities for contract extension.
- Other info: Collaborative environment with a focus on emerging technologies.
- Why this job: Be at the forefront of data transformation and make a real impact.
- Qualifications: Experience with AWS Glue and strong data transformation skills required.
The predicted salary is between 60000 - 80000 € per year.
We are supporting a major enterprise-wide data transformation programme focused on modernising and simplifying a complex legacy data and administration landscape. This role will play a key part in shaping and delivering a next-generation approach to enterprise data ingestion, transformation and mapping using cloud-native and AI-enabled tooling.
This is a hands-on transformation role suited to someone who combines strong technical depth with the ability to engage confidently with both business and technical stakeholders. The successful consultant will build on an existing AWS-based proof of concept and help evolve it into a scalable operational capability.
The Opportunity
The organisation currently ingests data from a wide range of internal and external source systems, with significant manual effort involved in mapping, transforming and translating data into downstream administration platforms. Much of this process is currently supported through legacy tooling and manual intervention. The strategic objective is to modernise this estate through automation, machine learning and cloud-native technologies, reducing operational overhead and minimising manual data mapping effort.
An early-stage AWS proof of concept has already demonstrated promising results using AWS Glue and machine learning models to automate mapping and transformation activities. The next phase requires an experienced consultant who can enhance and industrialise this approach.
Key Responsibilities
- Build upon and enhance an existing AWS Glue / ML-based data transformation capability
- Design and implement scalable approaches for automated data ingestion, mapping and transformation
- Work across complex enterprise data structures including XML, CSV and other structured/unstructured formats
- Reduce reliance on manual mapping processes and legacy middleware tooling
- Collaborate with business stakeholders, analysts, transformation teams and technical delivery teams
- Lead workshops and facilitate discussions around operational/process improvement
- Translate business challenges into pragmatic technical solutions
- Evaluate and apply emerging AI/ML tooling and automation techniques to improve efficiency and accuracy
- Support wider data modernisation initiatives within a large-scale enterprise environment
Required Experience
- Strong experience delivering enterprise data transformation programmes
- Deep knowledge of AWS data tooling, particularly AWS Glue
- Experience with cloud-native data integration and transformation architectures
- Exposure to AI/ML-driven automation approaches within data environments
- Strong understanding of enterprise data mapping and transformation challenges
- Experience working with complex data structures and file formats including XML and CSV
- Comfortable operating in a hands-on capacity rather than purely strategic oversight
- Strong stakeholder engagement and communication skills
- Ability to bridge technical delivery with business outcomes
- Experience facilitating workshops and engaging with senior business sponsors
Desirable Experience
- Insurance or reinsurance industry experience
- Understanding of complex policy, contract or enterprise financial data structures
- Experience reducing operational/manual effort through intelligent automation
- Awareness of modern data and AI tooling trends within enterprise transformation environments
Personal Profile
We are looking for someone who is:
- Pragmatic and delivery-focused
- Technically credible but commercially aware
- Comfortable engaging across both technical and business audiences
- Collaborative and workshop-friendly rather than purely developer-focused
- Able to challenge constructively and communicate the value of transformation initiatives clearly
- Interested in emerging technology and practical AI adoption
Contract Details
- Location: London / Hybrid
- Onsite Expectation: Flexible, with occasional London workshops and collaboration sessions expected
- Contract Length: Initial term until end of year with strong likelihood of extension
- Engagement Type: Outside IR35
Data Transformation Architect employer: Essential Consulting
Join a forward-thinking organisation that prioritises innovation and employee development, offering a dynamic work culture where collaboration and hands-on engagement are key. As a Data Transformation Architect in London, you'll have the opportunity to work on cutting-edge AWS and AI-driven projects, with flexible hybrid working arrangements that promote work-life balance. The company is committed to fostering growth through continuous learning and exposure to emerging technologies, making it an excellent employer for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Transformation Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data transformation space, especially those who work with AWS and AI. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects related to data ingestion and transformation. Use platforms like GitHub to share your code and demonstrate your hands-on experience with AWS Glue and machine learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled complex data structures and collaborated with stakeholders. Practice explaining your thought process clearly and confidently.
✨Tip Number 4
Don't forget to apply through our website! We have exciting opportunities that match your skills. Tailor your application to highlight your experience with cloud-native technologies and your ability to drive practical outcomes in data transformation.
We think you need these skills to ace Data Transformation Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Transformation Architect role. Highlight your experience with AWS, AI-driven data modernisation, and any hands-on projects you've led. 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 tell us why you're passionate about data transformation and how your background makes you the perfect fit for this role. Be sure to mention specific tools and methodologies you've used.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical expertise. We’re looking for someone who knows their way around AWS Glue and can handle complex data structures. Give us examples of how you've tackled similar challenges in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Essential Consulting
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS data tooling, especially AWS Glue. Be prepared to discuss how you've used these tools in past projects and how they can be applied to the role at hand. Having specific examples ready will show that you're not just familiar with the technology but can also leverage it effectively.
✨Showcase Your Hands-On Experience
This role is all about being hands-on, so be ready to share your practical experiences. Talk about specific instances where you've implemented data transformation solutions or automated processes. Highlight your ability to work directly with data and tools rather than just strategising from a distance.
✨Engage with Stakeholders
Since this position requires strong stakeholder engagement, prepare to discuss how you've successfully collaborated with both technical teams and business stakeholders in the past. Think of examples where you facilitated workshops or led discussions that resulted in tangible improvements or solutions.
✨Stay Updated on AI/ML Trends
The job involves applying emerging AI and ML techniques, so make sure you're up-to-date with the latest trends in these areas. Be ready to discuss how you've integrated AI/ML into data environments before, and share your thoughts on how these technologies can enhance data transformation processes.
