Data Engineer – Clinical, Laboratory, Scientific Data, AWS

Job not on LinkedIn

🕒 3 days ago

🇪🇺 Europe – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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futureproof consulting

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2015

💼 Consulting

📣 Marketing

🔒 Cybersecurity

Consulting • Marketing • Cybersecurity

futureproof consulting is a consulting firm focused on data, analytics, cybersecurity, and IT infrastructure. They provide advisory and implementation services to help organizations secure, manage, and derive value from their data and analytics platforms, and support enterprise infrastructure needs. Based in Říčany, Czech Republic, they operate as a B2B consultancy and publish contact and company details for client engagement.

📋 Description

• Design, develop, and maintain scalable data pipelines and data-processing solutions • Build cloud-based data solutions using AWS services • Develop and optimize 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 technical documentation in accordance with SDLC standards • Collaborate with data engineers, architects, analysts, and global business stakeholders • Contribute to a data-focused project for a global pharmaceutical company

🎯 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, and Amazon SageMaker • 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 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

• Freelance / contract engagement • 40 hours/week time allocation • Remote position • Start date: September, 2026