Lead Senior Recruiter
Data, Insight & Analytics
View profileData engineers are responsible for building and maintaining the infrastructure that enables reliable, scalable, and efficient data flow across systems. By designing robust data pipelines and integrating diverse data sources, they ensure that accurate, timely, and accessible data is available for analytics, reporting, and machine learning. Their work forms the foundation for data science, business intelligence, and decision-making processes.
Why consider a career as a Data Engineer?
Data Engineers design, build, and maintain the architecture that enables organisations to store, process, and access data at scale. This includes data pipelines, data warehouses, data lakes, and real-time streaming systems.
With more companies striving to harness the value of their data, demand for skilled Data Engineers is booming. It’s a fast-growing field with high potential for career development and innovation.
Typical role titles include
Career progression example
Salary Benchmarks
We’ve outlined the latest salary benchmarks for Data Engineering roles in the guides below:
Data, Insight and Analytics Salary Guide
Data, Insight and Analytics Day Rate Guide
Data, Insight and Analytics Within Data Engineering Development Salary Guide
Data, Insight and Analytics Within Data Science Salary Guide
Is it right for me? The skills it takes…
Core technical skills: SQL | ETL/ELT Development | Data Warehousing (Snowflake, Redshift, BigQuery) | Data Lake Technologies (AWS S3, Azure Data Lake) | Cloud Platforms (AWS, Azure, Google Cloud) | Programming (Python, Java) | Big Data Technologies (Apache Spark, Kafka, Hive, Airflow, dbt) | Streaming Data Processing (Kafka Streams, Apache Flink) | Workflow Orchestration (Apache Airflow, Luigi, Prefect) | Containerization & Orchestration (Docker, Kubernetes) | Infrastructure as Code (Terraform, CloudFormation) | API Development & Integration (RESTful APIs, GraphQL) | Monitoring & Logging (Prometheus, Grafana, ELK Stack) | Security & Compliance (encryption, access control, GDPR, HIPAA) | Performance Tuning & Optimization | Testing & Validation | Version Control & CI/CD (Git, Terraform, Docker)
Soft skills: Problem-solving & Critical Thinking | Collaboration & Cross-team Communication | Attention to Detail | Communication | Project Management & Agile Methodologies | Continuous Learning & Adaptability
What qualifications does it take?
Most Data Engineers hold a BSc, MSc, or PhD in a related discipline such as mathematics, physics, statistics, computer science, software engineering, artificial intelligence, or engineering.
While academic background is important, hands-on experience with large-scale datasets, data engineering tools, and cloud platforms (e.g. AWS, Azure, GCP) is often just as critical. Many employers value a strong portfolio of practical projects, contributions to open-source tools, or demonstrable knowledge of industry-standard platforms.
We connect ambitious organisations with their greatest assets, equally ambitious talent.
Purpose Driven
Take ownership of data strategy and architecture from the ground up.
Flexible, remote-first working with visits to a high-impact biotech lab.
Full details
16th Jul
Working with a recruitment partner like ADLIB means you’re working with a group of people who get to understand you and match candidates up with your culture and goals. ADLIB worked at a breakneck speed to introduce us to the marketing experts we needed to build our team in a matter of months. With their help we recruited and onboarded a new team much faster than planned and ended up spoilt for choice because of the way they work and market insights.
“From finding me my current role to helping place two fantastic hires, ADLIB has been a pivotal role in the development of our team here at Bristol. The guys are easy to work with, friendly and most importantly inspire trust. I look forward to working with them in the future.”
Average salaries and day rates for roles within data engineering & development.
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Average salaries and day rates typically received for Data, Insight and Analytics roles within Data Science.
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Average salaries and day rates typically received for Data, Insight and Analytics roles.
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Average salaries and day rates typically received for Data, Insight and Analytics roles.
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