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.
As a Senior Data Engineer, you will work within a high-calibre team to build and evolve core ETL pipelines, focusing on reliable and scalable data assets. You will use AWS, Snowflake, Python, and SQL to create data ingestion and modelling processes, and manage data orchestration with tools like Terraform and Airflow.
This role involves designing, building, and optimizing cloud-based data pipelines and warehouses for a fast-growing financial services company. You will shape data architecture, improve processes, and mentor a junior engineer while working in a collaborative, agile environment with a focus on innovation and governance.
Senior Data Engineer+8 months+Hybrid in Reading+Inside IR35+£80 - £85 ph+SC cleared roleSkills:+MOD+Data Engineer+PythonWe're seeking an adaptable, proactive Senior Data Engineer to build and scale data capabilities within a greenfield environment across critical Defence and Aerospace programmes.⚠️ Essential Requirement: You must...
Location: Perth, Sydney and Melbourne, Australia (Relocation support considered)About the RoleWe are seeking a Data Analyst or Data Engineer to support data-driven decision making across multiple business functions and industries in Australia.You will work with modern analytics tools and contribute...
This role involves designing and maintaining scalable data pipelines, developing ETL processes, and working with Azure Data Factory, Azure Data Lake, and Azure SQL. You will collaborate with stakeholders to integrate data from multiple sources and support data warehouse development, while contributing to CI/CD pipelines and deployment processes.
Azure Data Engineer | £350- £450 | Outside IR35 | Bristol | Hybrid - 3 days | 6‑Month Initial Term |We’re looking for a hands-on Azure Data Engineer to support a major data platform modernisation programme. You’ll help migrate legacy...
Senior Data Engineer – (Tick data, Time-Series; kdb+ / Q )3-6 months initially.London 3 days onsiteAre you a Data Engineer with a background in systematic trading who has worked with granular tick market data? Have you built pipelines to allow...
Domain : Telecom Domain experience - MUST HAVERole OverviewWe are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain. The...
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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