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Data and AI - Data Architect or Engineer

Wavestone

Responsibilities

  • Advise clients on enterprise data strategies, target operating models, governance frameworks, and modern architecture patterns including data lakes, data warehouses, lakehouses, and data mesh.
  • You will conduct architecture assessments and provide vendor-independent guidance on platform and technology choices.
  • Support the design of scalable data pipelines, integration frameworks, and cloud-native data solutions that enable trusted, high-quality data across the organisation.
  • Act as a trusted advisor and subject matter expert during sales and pre-sales activities, helping shape solution approaches, contribute to proposals and RFP responses, and identify opportunities to grow Wavestone's Data & AI footprint across strategic accounts.

Data Engineering & AI Enablement

You will help establish the data foundations required for advanced analytics, machine learning, AI, and GenAI use cases.

Thought Leadership & Proposition Development

Contribute to the evolution of Wavestone's data propositions by bringing innovative perspectives on data architecture, cloud platforms, governance, and AI-ready data ecosystems. You will support the development of thought leadership, methodologies, accelerators, and market-facing insights.

People Development

Help grow Wavestone's Data & AI community through coaching, mentoring, and knowledge sharing. You will support the development of consultants and engineers, contribute to internal capability building, and promote best practices across the practice.

Maintain Expertise

Stay at the forefront of developments in data architecture, engineering, cloud technologies, analytics, and AI enablement. You will continuously develop your expertise and bring emerging trends, technologies, and best practices into client engagements and internal initiatives.

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 (lakehouse, warehouse, data mesh, data fabric). Hands-on experience with one or more cloud data ecosystems: Azure (Data Factory, Synapse, Fabric, ADLS, Databricks) AWS (Glue, Redshift, EMR) GCP (BigQuery, Dataflow) Databricks (Spark/PySpark) Snowflake (SQL, Snowpark, performance tuning) 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 (Power BI/Tableau) and downstream analytics requirements.

Our commitment

Wavestone values and Positive Way Elevate client satisfaction by impacting high-growth business across US, UK, and Europe. Shape culture, enhance value propositions, and foster business development. Nurture employee growth with Wavestone horizon career path, competitive compensation, transparent salary policy, tailored training, and internal mobility. Embrace a collective mindset within a barrier-free, collaborative team. Engage in vibrant people culture through regular events, meetings, and committees. Experience ethical responsibility with flexible work options, strong CSR commitment, and a culture promoting work-life balance and time-off. Benefits Competitive salary and bonus scheme. Income protection insurance, 5% company pension, private health and dental cover, life insurance, company share scheme. Additional flexible benefits you can select from such as additional holidays, additional pension contributions, subsidized gym, subscriptions to wellbeing apps, Netflix, retail vouchers. 25 days annual leave. Travel and Location Employees are not required to work in a Wavestone office on a full-time basis but are required to commute to the office /client site, whenever necessary. Wavestone UK office is in the heart of the city of London.

Note

Mandatory 2-3 days per week in Wavestone office / client site during probation. Diversity and Inclusion At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion, Social Mobility and Anti-Racism networks. 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.

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. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. ​ Recognized by the Financial Times as one of the UK’s Leading Management Consultants 2025, Wavestone UK now boasts a team of 200 employees, with ambitions to rapidly grow in the coming years. Our services span business and digital transformation, cybersecurity, operational improvement, risk advisory, and IT advisory. We exist to provide end-to-end expert advice to clients across industries, with a particular focus on Insurance, Financial Services and Life Sciences – helping them to positively transform into modern, innovative organizations that thrive in a sustainable way. ​ In 2025, we received the UK’s Great Place to Work accreditation, and we are proud to have been recognized in the following Best Workplaces categories: Large Organizations, Wellbeing, Development and Best Workplace for Women.​ Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you.​ Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions.