Data Engineer

Migx
Laza, Spain
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish, Catalan

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Acceptance Test-Driven Development Microsoft Azure Bash Shell Clinical Data Management Clinical Data Repository Profiling Continuous Integration Data Infrastructure
+28 more
Extract Transform Load (ETL) Data Systems Relational Databases Database Development Database Testing File Systems Github IT Management Python (Programming Language) MongoDB Nagios Windows PowerShell Scrum Methodology Standard Sql DataOps SQL Databases Management of Software Versions Data Logging Google Cloud Cloud Platform System Pyspark Infrastructure Automation Frameworks Deployment Automation Data Management Terraform Data Pipelines GXP Databricks

Job description

About the profileAbout MIGxMIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others.MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed Services and compliance.The OpportunityWe’re looking for aData Engineerto join our growing Data and AI Engineering team of professionals who thrive at the intersection of data, technology, and healthcare. Whether you’re early in your career or already have hands-on experience, we welcomecurious minds, team players, and problem-solverseager to build high-quality data solutions for the life sciences industry.At MIGx, you’ll contribute to moderndata mesh and data fabricarchitectures, develop cloud-native pipelines, and help implementDataOps practicesthat ensure our systems are robust, observable, and production-ready.ResponsibilitiesWhat You’ll DoBuild and manageETL/ELT pipelinesusing tools likeDatabricks, dbt, PySpark, and SQL.Contribute to scalabledata platformsacrosscloud environments(Azure, AWS, GCP).Implement and maintainCI/CD workflowsusing tools such asGitHub ActionsandAzure DevOps.ApplyDataOps principles: pipeline versioning, testing, lineage, deployment automation, and monitoring.Integrate automateddata quality checks, profiling, and validation into pipelines.Ensure strongdata observabilityvia logging, metrics, and alerting tools.Collaborate oninfrastructure as codefor data environments usingTerraformor similar tools.Connect and orchestrate ingestion from APIs, relational databases, and file systems.Work in agile teams, contributing to standups, retrospectives, and continuous improvement.Requirements - Must haveWhat We’re Looking ForWe believe diverse perspectives and backgrounds lead to better ideas. Even if you don’t meet every requirement, we’d still love to hear from you.Core Experience & SkillsHands-on experience delivering production-grade solutions in Databricks, ideally on Azure.Strong practical knowledge ofUnity Catalog(governance, permissions, catalog/schema design, lineage).SolidPython + PySpark + SQLskills for transformation, automation, and troubleshooting.Working knowledge of data quality, validation frameworks, and test-driven data development.Experience withManaged Tablesand Lakehouse best practices.Experience buildingDatabrickspipelines usingJobs/Workflows/DLT.Proven experience withDatabricks Asset Bundles (DABs)for packaging and deployments.Understanding ofDataOps concepts, including reproducibility, automation, and collaboration.Team-first mindset and experience inagile environments(Scrum or Kanban).Professional working proficiency in English (our internal and client-facing working language).Requirements - Nice to haveInfrastructure automation usingTerraform, Bash,orPowerShell.Experience in theclinical data domain(clinical trial data, clinical datasets, standards/terminology).Familiarity withdata testingtools.Understanding ofGxPor other healthcare data regulations.Experience withnon-relational data systems(e.g., MongoDB, CosmosDB).Spanish and/or Catalan language skills.LanguagesEnglishWhat we offerHybrid work model and flexible working schedule that would suit night owls and early birds25 holiday days per year.Possibilities of career development and the opportunity to shape the company future.An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged.Different training programs to support your personal and professional development.Work in a fast growing, international company.Friendly atmosphere and supportive Management team.About usMIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others.MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed services and compliance.

Requirements

We believe diverse perspectives and backgrounds lead to better ideas. Even if you don’t meet every requirement, we’d still love to hear from you. Core Experience & Skills Hands-on experience delivering production-grade solutions in Databricks, ideally on Azure. Strong practical knowledge of Unity Catalog (governance, permissions, catalog/schema design, lineage). Solid Python + PySpark + SQL skills for transformation, automation, and troubleshooting. Working knowledge of data quality, validation frameworks, and test-driven data development. Experience with Managed Tables and Lakehouse best practices. Experience building Databricks pipelines using Jobs/Workflows/DLT . Proven experience with Databricks Asset Bundles (DABs) for packaging and deployments. Understanding of DataOps concepts , including reproducibility, automation, and collaboration. Team-first mindset and experience in agile environments (Scrum or Kanban). Professional working proficiency in English (our internal and client-facing working language). Requirements - Nice to have Infrastructure automation using Terraform, Bash, or PowerShell. Experience in the clinical data domain (clinical trial data, clinical datasets, standards/terminology). Familiarity with data testing tools. Understanding of GxP or other healthcare data regulations. Experience with non-relational data systems (e.g., MongoDB, CosmosDB). Spanish and/or Catalan language skills. Languages English

About the company

MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others. MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed Services and compliance. The Opportunity We’re looking for a, MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others. MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed services and compliance.

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