The Role
Design, build, and maintain scalable AWS data pipelines and platforms using Python, SQL, Spark, PySpark, Databricks, and Dataiku. Develop ETL/ELT workflows, optimize Redshift and S3 solutions, automate infrastructure with Terraform and CloudFormation, and maintain CI/CD pipelines. Monitor and troubleshoot data workloads, document solutions, and collaborate with global stakeholders. The role supports regulated clinical, laboratory, scientific, and pharmaceutical data environments.
Summary Generated by Built In
This is a remote position.
We are looking for an experienced Senior Data Engineer to join a data-focused project for a global pharmaceutical company. You will design, build, and maintain scalable cloud data pipelines and platforms using AWS, Python, SQL, Spark, and Databricks.
- Design, develop, and maintain scalable data pipelines and data-processing solutions.
- Build cloud-based data solutions using AWS services.
- Develop ETL/ELT workflows using Python, SQL, Spark, and PySpark.
- Work with Databricks and Dataiku for data engineering, transformation, and analytics use cases.
- Develop and optimize solutions involving Amazon Redshift and Amazon S3.
- Automate infrastructure deployments using Terraform and CloudFormation.
- Build and maintain CI/CD pipelines using Jenkins and Git.
- Containerize applications and data workloads using Docker.
- Monitor data workflows and troubleshoot performance or reliability issues.
- Produce clear technical documentation in accordance with SDLC standards.
- Collaborate with data engineers, architects, analysts, and global business stakeholders.
Requirements
- 5–8 years of relevant data engineering experience.
- Strong hands-on experience with AWS, particularly:
- Amazon S3
- IAM
- Amazon Redshift
- AWS Glue
- AWS Lambda
- AWS Step Functions
- Amazon CloudWatch
- Amazon SageMaker
- Amazon S3
- Strong programming skills in Python or Java.
- Advanced SQL knowledge, ideally including Amazon Redshift.
- 2–3 years of hands-on experience with Apache Spark or PySpark.
- Experience with Databricks and/or Dataiku.
- Experience with Terraform and AWS CloudFormation.
- Practical knowledge of Jenkins, Git, and Docker.
- Understanding of software development lifecycle processes and technical documentation.
- Strong communication skills and the ability to work within an international team.
- Previous experience in the pharmaceutical, healthcare, laboratory, or life-sciences sector.
- Knowledge of DSCS and DPTM platforms or related data-management environments.
- Experience working with regulated or validated data solutions.
- Familiarity with data originating from laboratory or scientific systems.
Benefits
- Location: European Union
- Contract Type: Freelance / Contract
- Start date: September, 2026
- Time Allocation: 40 hours/week
Skills Required
- 5-8 years of relevant data engineering experience
- Hands-on AWS experience, including Amazon S3, IAM, Amazon Redshift, AWS Glue, AWS Lambda, AWS Step Functions, Amazon CloudWatch, and Amazon SageMaker
- Strong programming skills in Python or Java
- Advanced SQL knowledge
- Amazon Redshift SQL experience
- 2-3 years of hands-on Apache Spark or PySpark experience
- Experience with Databricks and/or Dataiku
- Experience with Terraform and AWS CloudFormation
- Practical knowledge of Jenkins, Git, and Docker
- Understanding of software development lifecycle processes and technical documentation
- Strong communication skills and ability to work within an international team
- Previous experience in pharmaceutical, healthcare, laboratory, or life-sciences sectors
- Knowledge of DSCS and DPTM platforms or related data-management environments
- Experience working with regulated or validated data solutions
- Familiarity with data originating from laboratory or scientific systems
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The Company
What We Do
futureproof s.r.o. is a Czech consulting and staffing firm focused on data, analytics, cybersecurity, and IT infrastructure. It provides contract and permanent staffing, team augmentation, time-and-material resources, and specialist or lead placements, while also offering expert consulting through a network of architects and project leaders. The company emphasizes niche technical expertise, trusted relationships, continuous learning, and long-term value for clients.
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