Overview

Confidential opportunity with a global strategy firm

Responsibilities

• Design, develop and deploy scalable data engineering solutions for complex enterprise environments.
• Build and maintain modern data pipelines and platforms supporting analytics, data science and business applications.
• Transform data at scale, including cleaning, enriching, de-duplicating, joining and correlating structured, semi-structured and unstructured data.
• Develop reusable data engineering components and building blocks that can be applied across multiple projects.
• Work closely with consulting and client teams to understand business challenges and translate them into practical data solutions.
• Collaborate with data engineering leaders to develop and advocate for modern data engineering approaches.
• Enable data and technology capabilities for data science, analytics and other application use cases.
• Implement innovative approaches to deployment, infrastructure automation and engineering tooling.
• Contribute to infrastructure engineering across the data ecosystem, including development, testing, deployment and release.
• Participate throughout the full software development lifecycle, including architecture, development, documentation, testing and code reviews.
• Develop comprehensive unit and integration tests and contribute to automated quality practices.
• Provide technical guidance to clients and internal stakeholders.
• Work alongside multidisciplinary teams to deliver high-impact solutions in complex enterprise environments.
• Stay current with emerging technologies across cloud computing, data engineering, analytics and software engineering.
• Contribute to the development of recent engineering approaches and reusable solutions across the wider practice.

Qualifications

• 4+ years' professional experience in data engineering, software engineering or a closely related discipline.
• Strong hands-on programming experience, with 2+ years in Python, Scala, Java, C++, C#, Go or a similar language.
• Proven experience designing and developing data pipelines using technologies such as Airflow, Beam, Luigi, Metaflow, Kubeflow or similar.
• Strong experience with SQL and/or NoSQL databases, with exposure to platforms such as:
• Databricks
• Snowflake
• PostgreSQL
• SQL Server
• Oracle
• MySQL
• Redis
• MongoDB
• Elasticsearch
• Hive / HBase
• Teradata
• Cassandra
• Amazon Redshift
• Strong understanding of DevOps and CI/CD, including tools such as GitHub Actions.
• Solid computer science fundamentals, including data structures, algorithms, object-oriented programming, automated testing and software performance.
• Understanding of how computer architecture and application design can influence software performance and scalability.
• End-to-end experience delivering data or software engineering solutions within a product engineering, consulting or professional services environment.
• The Opportunity
• This is an opportunity to join a global strategy firm in a highly technical engineering capacity, working on complex data challenges for major enterprise clients.
• You’ll have the opportunity to work across different industries, technologies and business problems, collaborating with experienced engineers, data scientists and consultants.
• The role offers the chance to remain hands-on technically while gaining significant exposure to client environments, modern cloud technologies and large-scale data engineering challenges.
• You’ll also have the opportunity to contribute to reusable engineering platforms, innovative data solutions and emerging technologies that can have a direct impact on major transformation programmes.