Big Data DevOps Engineer

About the role

We are seeking a skilled Big Data DevOps Engineer to design, deploy and maintain scalable data platforms on major cloud providers. The role combines deep expertise in big‑data technologies with strong cloud‑ops and automation skills to support advanced analytics and real‑time processing.

Key responsibilities

• Build, deploy and maintain secure big‑data solutions on AWS, Azure and Google Cloud.
• Configure and manage data processing tools such as Apache Spark, Databricks, Kafka, Airflow and Databricks.
• Automate infrastructure with Terraform and create CI/CD pipelines using Jenkins, GitLab or GitHub Actions.
• Monitor performance, optimise cost and ensure operational efficiency of data workloads.
• Implement security controls and ensure compliance with data‑protection regulations.
• Collaborate with data scientists, data engineers and other stakeholders to deliver high‑quality solutions.

Required profile

• Proven experience with big‑data technologies, especially Apache Spark or Databricks.
• Strong background in cloud services administration (AWS, Azure, Google Cloud).
• Hands‑on experience with infrastructure‑as‑code (Terraform) and CI/CD pipelines.
• Solid scripting abilities in Python or Scala.
• Experience with SQL and both relational and non‑relational databases.
• Excellent problem‑solving skills and a collaborative, team‑oriented attitude.

Required skills

• Apache Spark
• Databricks
• AWS
• Azure
• Google Cloud
• Terraform
• Jenkins
• GitLab
• GitHub Actions
• Python
• Scala
• SQL
• Relational databases
• Non‑relational databases
• Apache Kafka
• Airflow

What we offer

• Innovative projects for global industry leaders.
• Flexible work environment – office or home.
• Opportunities to work abroad up to two months per year.
• Relocation options across 55+ countries.
• Leadership development, certifications (GCP, Azure, AWS) and unlimited learning resources.
• Medical & family care package, referral bonuses, six trust days, and fitness discounts.