Data, AI & Analytics
Data Engineer Jobs & Careers
Looking for your next Data Engineer opportunity?
HOK Consulting connects Data Engineers with organisations building reliable data platforms, pipelines and analytics environments across permanent, contract and interim opportunities.
Whether your experience covers Python, SQL, Snowflake, Databricks, Azure Data Services or AWS Data Services, explore current opportunities or upload your CV to join HOK’s technology talent network.
Current Data Engineer Jobs
Explore current Data Engineer opportunities available through HOK Consulting.
Can’t see the right Data Engineer role?
If there are currently no suitable Data Engineer vacancies listed, upload your CV and tell us what you’re looking for. Our team can contact you when a relevant permanent, contract or interim opportunity becomes available.
What Does a Data Engineer Do?
Data Engineers design, build and maintain the systems and pipelines organisations use to collect, transform, store and make data available for analytics, reporting and artificial intelligence.
The role commonly involves developing data pipelines, integrating data from multiple sources, designing scalable data platforms and ensuring information remains reliable, accessible and suitable for downstream use.
Data Engineers often work alongside Data Scientists, Analytics Engineers, Data Analysts, architects and cloud teams to create the foundations required for effective analytics and data-driven decision-making.
Data Engineer Skills & Experience
The exact technical requirements vary between organisations, but Data Engineer roles commonly involve experience across areas such as:
- Data Engineering
- Python
- SQL
- Data Pipelines
- ETL and Data Transformation
- Data Modelling
- Snowflake
- Databricks
- Azure Data Services
- AWS Data Services
- Data Architecture
- Data Governance
- Data Quality
- Business Intelligence
- Cloud Data Platforms
Data Engineers may specialise in particular cloud platforms, data warehouses or processing technologies, while others work across broader enterprise data ecosystems.
Strong problem-solving skills and an understanding of data quality, performance, scalability and governance are particularly important when building platforms that support business-critical analytics and AI workloads.
Typical Data Engineer Responsibilities
- Designing and developing scalable data pipelines
- Collecting and integrating data from multiple systems and sources
- Building ETL and data transformation processes
- Developing and maintaining cloud-based data platforms
- Working with technologies such as Snowflake and Databricks
- Writing and optimising Python and SQL
- Designing data models and storage structures
- Monitoring and improving data quality and reliability
- Supporting data governance and security requirements
- Optimising data processing performance and scalability
- Working with analytics, data science and business intelligence teams
- Supporting the delivery of reporting, machine learning and AI use cases
Responsibilities vary depending on the organisation, data architecture and whether the role focuses on cloud data platforms, pipelines, warehouses or broader enterprise data engineering.
Data Engineer Salary Expectations
Data Engineer salaries vary according to experience, location, cloud platform, technical specialism, sector and the complexity of the data environments being developed.
Permanent Data Engineer
Around £70,000 per year
UK median advertised salary
Contract Data Engineer
Around £500 per day
UK median contract rate
Senior Data Engineers and professionals with specialist Databricks, Snowflake, cloud architecture, financial services or large-scale data platform experience may command higher salaries or contract rates.
Salary information is provided as a general UK market guide and can vary significantly between individual roles.
Data Engineer Career Progression
Data Engineering can lead into senior engineering, architecture and wider data leadership positions.
Typical Data Engineer Career Path
Alternative Career Paths
Data Engineers may also progress into roles such as:
- Analytics Engineer
- Data Architect
- Machine Learning Engineer
- Data Engineering Lead
- Head of Data
- Chief Data Officer
The right progression depends on whether you want to deepen your hands-on data engineering expertise, move into architecture or take responsibility for wider data platforms, teams and strategy.
Your Next Move
Looking for Your Next Data Engineer Opportunity?
If you’re considering your next permanent position, contract assignment or interim opportunity, send HOK Consulting your CV.
Tell us about your data engineering experience, the platforms and technologies you work with and the type of opportunity you’re looking for.
Specialist Recruitment
Data, AI & Analytics Recruitment
Data Engineering forms part of HOK Consulting’s wider Data, AI & Analytics recruitment expertise, connecting organisations with professionals across data engineering, data science, artificial intelligence, machine learning, business intelligence, analytics and data architecture.
Hiring?
Recruiting Data Engineers?
HOK Consulting supports organisations looking for experienced Data Engineers across permanent, contract and interim requirements.
Whether you’re building a new data platform, modernising pipelines, moving data workloads to the cloud or strengthening analytics and AI capability, speak to HOK about your requirements.