Data Engineer Recruitment

The Data Engineering market remains active, though hiring patterns have shifted over the last few years. Following a period of correction across the technology sector, businesses are hiring more selectively, with a stronger focus on long-term impact and proven experience.

Cloud expertise continues to be one of the most requested skill sets. Organisations increasingly look for engineers with hands on experience across AWS, Azure, or Google Cloud, alongside modern data tooling such as Databricks, Snowflake, dbt, Kafka, and Airflow. The expectation is no longer just to manage data pipelines, but to build scalable, reliable platforms that support the wider business.

AI has also changed hiring priorities. Many organisations are investing in AI initiatives, but success still depends on high quality data foundations. As a result, demand has increased for Data Engineers who understand machine learning environments, data governance, and the infrastructure required to support AI products at scale.

The market has become more specialised as well. Employers are placing greater value on candidates who have solved similar problems in comparable environments. Experience within sectors such as fintech, healthtech, SaaS, ecommerce, or regulated industries often carries significant weight, particularly where data quality, compliance, and scalability are business priorities.

One trend Consortia continues to see is a shortage of senior Data Engineers and Data Platform specialists. While there is healthy candidate activity at mid level, businesses often struggle to secure experienced professionals capable of leading platform migrations, modernisation programmes, and large scale transformation projects.

The organisations that attract the strongest talent tend to have a clear technical vision, realistic hiring expectations, and a streamlined interview process. Candidates remain selective, particularly at senior level, and are increasingly looking for opportunities where they can influence architecture, shape technical direction, and work on meaningful engineering challenges rather than simply maintain existing systems.