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Wavestone

Management and digital transformation consulting

Data Architect or Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • 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, extract, transform, and load (ETL) or extract, load, and transform (ELT), ingestion patterns, orchestration, and integration approaches.
  • Experience designing or governing modern data architectures, including lakehouse, warehouse, data mesh, and 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); or Snowflake (SQL, Snowpark, performance tuning).

Responsibilities

  • Lead delivery of complex data transformation programmes, helping clients define data strategies, design enterprise data architectures, and implement modern cloud data platforms.
  • Provide architectural leadership across delivery teams, translate business requirements into scalable technical solutions, and ensure successful outcomes from strategy through implementation.
  • Advise clients on enterprise data strategies, target operating models, governance frameworks, and modern architecture patterns, including data lakes, data warehouses, lakehouses, and data mesh.
  • 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 organisations.
  • Help establish the data foundations required for advanced analytics, machine learning, AI, and generative AI use cases.
  • Act as a trusted advisor and subject matter expert during sales and pre-sales activities, shape solution approaches, contribute to proposals and RFP responses, and identify opportunities to grow the Data & AI practice across strategic accounts.
  • Contribute to the evolution of data propositions, including developing thought leadership, methodologies, accelerators, and market-facing insights.
  • Support growth of the Data & AI community through coaching, mentoring, knowledge sharing, internal capability building, and promoting best practices.
  • Maintain expertise in data architecture, engineering, cloud technologies, analytics, and AI enablement, and bring emerging trends, technologies, and best practices into client engagements and internal initiatives.

Desired Qualifications

  • Strong SQL and/or Python capability, and familiarity with tools such as dbt, Git, continuous integration/continuous delivery (CI/CD), or MLOps frameworks.
  • Understanding of business intelligence (BI) and visualisation principles, including Power BI or Tableau, and downstream analytics requirements.

About the Company

Wavestone

Management and digital transformation consulting

Wavestone provides management and digital consulting to help large organizations carry out complex transformations. Its services combine strategy, change management, and technology implementation to guide clients from plan to outcome. The core method centers on cultivating a shared culture of enthusiasm for change, called The Positive Way, so strategies are adopted smoothly, projects stay sustainable, and stakeholders trust the process. With about 3,000 consultants across four continents, the company supports transformation programs from ideation to execution on a global scale. Wavestone differentiates itself by placing culture and positive mindset at the heart of its approach, pairing management consulting with digital expertise to drive lasting change. The goal is to enable successful, enduring transformations that deliver measurable business value while engaging people in the change journey.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Puteaux, France
Founded
1990

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