At a Glance
- Tasks: Design and deliver innovative data solutions for clients in regulated environments.
- Company: Join Wavestone, a global consulting powerhouse with a focus on people and performance.
- Benefits: Enjoy competitive salary, flexible benefits, and 25 days annual leave.
- Other info: Thrive in a collaborative environment with excellent career growth opportunities.
- Why this job: Make a real impact by enabling advanced analytics and AI for leading organisations.
- Qualifications: Experience in data architecture and engineering, with strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone, energetic, solution-driven experts who focus as much on people as on performance and growth. We share a deep desire to make a positive impact. Our services span business and digital transformation, cybersecurity, operational improvement, risk advisory, and IT advisory.
Wavestone is seeking a Data Architect or Data Engineer to support the design and delivery of innovative data solutions for clients operating in complex, regulated environments, including Banking, Insurance, Wealth & Asset Management, and Life Sciences. In this client-facing role, you will work with business and technology stakeholders to define data architectures, build scalable data platforms and pipelines, and establish strong data governance practices.
Your key responsibilities will cover:
- Lead & Deliver Engagements: Take a leading role in delivering complex data transformation programmes, helping clients define data strategies, design enterprise data architectures, and implement modern cloud data platforms.
- Data Strategy, Architecture & Platform Advisory: Advise clients on enterprise data strategies, target operating models, governance frameworks, and modern architecture patterns.
- Data Engineering & AI Enablement: Support the design of scalable data pipelines, integration frameworks, and cloud-native data solutions.
- Business Development: Act as a trusted advisor and subject matter expert during sales and pre-sales activities.
- Thought Leadership & Proposition Development: Contribute to the evolution of Wavestone's data propositions by bringing innovative perspectives.
- People Development: Help grow Wavestone's Data & AI community through coaching, mentoring, and knowledge sharing.
- Maintain Expertise: Stay at the forefront of developments in data architecture, engineering, cloud technologies, analytics, and AI enablement.
Core Skills & Experience:
- Significant experience in consulting, client-facing roles, or equivalent industry experience delivering data engineering and architecture solutions.
- Strong understanding of data engineering principles, including pipeline design, ETL/ELT, ingestion patterns, orchestration, and integration approaches.
- Experience designing or governing modern data architectures.
- Hands-on experience with one or more cloud data ecosystems.
Desirable Experience:
- Strong SQL and/or Python capability, and familiarity with tools such as dbt, Git, CI/CD, or MLOps frameworks.
- Understanding of BI/visualisation principles and downstream analytics requirements.
Additional Information:
Wavestone values and promotes employee growth with a competitive compensation package, tailored training, and internal mobility. We embrace a collective mindset within a barrier-free, collaborative team.
At Wavestone, we celebrate diversity and inclusion. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, please reach out to us to discuss this.
Data and AI - Data Architect or Engineer in London employer: Wavestone
Wavestone is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior Data & AI Engineers to thrive. With a strong focus on employee growth, Wavestone offers numerous opportunities for professional development and hands-on experience in cutting-edge AI solutions, all while working with top-tier clients in a dynamic global environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI - Data Architect or Engineer in London
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We think you need these skills to ace Data and AI - Data Architect or Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Wavestone, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wavestone. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wavestone
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
