Data Architect or Data Engineer - Data & AI Practice

About the role

Wavestone, a management consultancy focused on business and digital transformation, cybersecurity, risk advisory and IT advisory, is looking for a Data Architect or Data Engineer to join its Data & AI Practice. The role is client-facing and supports the design and delivery of data solutions for clients in banking, insurance, wealth and asset management and life sciences. It covers client delivery, business development, thought leadership and people development.

Key responsibilities

• Lead and deliver complex data transformation programmes, defining data strategies, designing enterprise data architectures and implementing cloud data platforms.
• Advise clients on data strategies, operating models, governance frameworks and architecture patterns such as data lakes, data warehouses, lakehouses and data mesh.
• Support the design of scalable data pipelines, integration frameworks and cloud-native solutions for advanced analytics, machine learning, AI and GenAI.
• Act as a trusted advisor in sales and pre-sales, helping shape solutions, contribute to proposals and RFPs and grow the Data & AI footprint in strategic accounts.
• Contribute to thought leadership, methodologies, accelerators and market-facing insights.
• Help grow the Data & AI community through coaching, mentoring and knowledge sharing.
• Keep up to date with data architecture, engineering, cloud technologies, analytics and AI.

Required profile

• Significant consulting or client-facing experience delivering data engineering and architecture solutions.
• Ability to explain complex data concepts to technical and non-technical audiences.
• Full data lifecycle experience, from strategy and architecture through to delivery, adoption and optimisation.

Required skills

• Data engineering principles: pipeline design, ETL/ELT, ingestion, orchestration and integration.
• Modern data architectures (lakehouse, warehouse, data mesh, data fabric).
• Cloud platforms: Azure (Data Factory, Synapse, Fabric, ADLS, Databricks), AWS (Glue, Redshift, EMR), GCP (BigQuery, Dataflow), Snowflake (SQL, Snowpark).
• Desirable: SQL and/or Python, dbt, Git, CI/CD, MLOps, Power BI/Tableau.

What we offer

• Competitive salary and bonus scheme.
• Income protection insurance, 5% company pension, private health and dental cover, life insurance and company share scheme.
• Flexible benefits such as extra holidays, extra pension contributions, subsidised gym, wellbeing app subscriptions and retail vouchers.
• 25 days annual leave.
• Flexible work options, with mandatory 2-3 days per week in the London office or client site during probation.