Future Tech Jobs
Future Tech Jobs
The backbone of modern data infrastructure. Building, maintaining, and optimising the pipelines that power data-driven decisions.
Data Engineers are the architects and builders of the data infrastructure that underpins modern businesses. They design, build, and maintain the data pipelines, warehouses, and lakes that enable organisations to store, process, and analyse vast amounts of data. Whether working in scaleups, research-heavy startups, or the larger consultancies, Data Engineers play a crucial role in ensuring that data is accessible, reliable, and secure.
A typical week for a Data Engineer is a mix of coding, testing, and collaboration with cross-functional teams.
Based on advertised midpoints across the 152 priced listings posted in the last 12 months. Base salary only.
% of 1 listings posted in the last 12 months that mention each skill, extracted from job descriptions.
A typical UK progression for data engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.
Assists in building and maintaining data pipelines, with a focus on learning and supporting more senior team members.
Takes ownership of specific data pipelines and projects, ensuring they meet performance and reliability standards.
Leads the design and implementation of complex data infrastructure, mentoring junior engineers and collaborating with cross-functional teams.
Strategises and oversees the entire data infrastructure, driving innovation and best practices across the organisation.
There's no single route, but most people follow some version of these steps.
Start with foundational skills in SQL, Python, and data storage systems. Gain experience with ETL processes and data warehousing.
Work on building and maintaining data pipelines using tools like Apache Kafka and Apache Spark. Focus on efficiency and scalability.
Optimise data storage and retrieval processes to ensure high performance and reliability. Collaborate with data scientists and analysts.
Take ownership of complex data infrastructure projects. Mentor junior engineers and ensure best practices are followed.
Strategise the overall data infrastructure, driving innovation and best practices. Oversee the implementation of new technologies and methodologies.
This role involves designing and maintaining scalable data systems on AWS, including data ingestion pipelines, ML-ready datasets, and data warehouse optimization. You will work closely with Data Science, Engineering, and Product teams to support real-time decision making and commercial outcomes, with a focus on cost, performance, and reliability.
This role involves leading the design, build, and optimization of a modern Azure Databricks Lakehouse platform. You will work closely with engineers and stakeholders to ensure the platform is scalable, secure, and reliable, while taking ownership of key data platform initiatives and driving technical excellence.
As a Principal Data Engineer, you will lead the technical direction and architecture for a modern, domain-oriented Data Mesh on Google Cloud Platform. Your responsibilities include defining project approaches, designing scalable data pipelines, and mentoring senior engineers to maintain high standards. This role offers a unique opportunity to shape the long-term engineering strategy and influence the Data Mesh journey in a 100% cloud-native environment.
This role involves designing and building scalable cloud-based data platforms using Medallion Architecture, engineering data pipelines with Python and PySpark, and integrating data from multiple sources. The position offers the opportunity to work on complex data challenges in the London insurance market, collaborating with data architects, modellers, and business stakeholders to deliver modern cloud solutions.
This role involves designing, building, and maintaining scalable data pipelines within Microsoft Fabric Lakehouse environments. You will develop and optimize data ingestion and transformation workflows, support Power BI reporting, and ensure strong data quality and governance standards. As a senior member of the BI and data team, you will also mentor developers and guide development standards.
This role involves designing, building, and maintaining scalable cloud-based data pipelines using Microsoft technologies like Azure Data Factory, Azure Synapse, Databricks, and Microsoft Fabric. You will collaborate with data engineers, BI developers, analysts, and process engineers to ensure data solutions align with business goals and best practices, while also supporting the productionisation of machine learning models and large language models.
This role involves designing and maintaining resilient data platforms using bronze, silver, and gold data modelling frameworks. You will build and manage ETL pipelines with Python, integrate data from Dynamics 365, and develop high-quality Power BI dashboards and paginated reports. The position offers the chance to influence standards and work on varied, technically engaging projects in a growing digital transformation environment.
As a SAS Data Engineer, you will design, develop, and maintain SAS-based data solutions, support data acquisition and management, and work across the full software development lifecycle. You will collaborate with engineers and stakeholders to deliver high-quality, secure, and reliable data solutions for essential public services.
The locations with the most live listings for this role today.
Data Engineers commonly use tools like Apache Kafka, Apache Spark, SQL, Python, and data warehousing solutions such as Amazon Redshift or Google BigQuery.
Collaboration with data scientists is crucial. Data Engineers need to understand the data needs of data scientists to build effective data pipelines and infrastructure.
Key skills include proficiency in SQL, Python, and data storage systems, as well as a strong understanding of ETL processes, data warehousing, and big data technologies.
The typical career progression is from Junior Data Engineer to Data Engineer, then Senior Data Engineer, and finally Principal Data Engineer, with increasing levels of responsibility and leadership.
For specific salary information, please refer to the salary section on this page, which is updated with the latest data from live job listings.
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