Data Engineer

ERGOMED

. Design, build, and optimize scalable data integration pipelines from cloud, on-premise, and API sources .

Posted 10/10/2026full-timeRemote • CroatiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data integration pipelines, ensuring data quality and integrity while collaborating with cross-functional teams to deliver impactful data solutions. Proficient in utilizing modern data architectures and tools to support advanced analytics and business intelligence initiatives.

Highest-signal resume keywords

Data IntegrationData Quality ManagementSQLData WarehousePowerBI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData ModelingData OptimizationData GovernanceSQLNoSQLPostgreSQLHadoopKafkaSpark

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

PowerBITableauLookerAirflowDatabricksTensorFlowSAS

Industry Keywords

Data LakeData FabricData MeshMPP EnginesAIMLBI

Tech Stack

Tools & technologies

AirflowCloudHadoopKafkaNoSQLOraclePostgresPythonSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

Design, build, and optimize scalable data integration pipelines from cloud, on-premise, and API sources
Transform and cleanse raw data for advanced analytics and business intelligence
Automate manual data preparation tasks using modern data architectures and tools
Monitor system performance, troubleshoot bottlenecks, and optimize workflows
Implement data quality checks and governance standards to ensure data integrity
Partner with data scientists and analysts to optimize machine learning models
Enable business stakeholders to effectively consume data
Work closely with IT and business stakeholders to operationalize reliable data solutions

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative field
Proven experience in data management, including data integration, modeling, optimization, and quality
Experience developing analytical platforms that drive concrete business value
Strong background collaborating with cross-functional teams and business stakeholders on enterprise data initiatives
Strong understanding of Data Warehouse, Data Lake/Lakehouse, Data Fabric, Data Mesh, and MPP engines
Experience with SQL, NoSQL, PostgreSQL, Oracle, Hadoop, Kafka, Airflow, and Spark
Intermediate experience with BI tools such as PowerBI, Tableau, or Looker
Experience building data solutions supporting AI, ML, and BI initiatives
Basic knowledge of Python, R, Databricks, TensorFlow, SAS, or similar tools
Expert problem-solving and debugging skills
Excellent communication skills for translating complex technical concepts to executive, business, IT, and quantitative stakeholders
High ethical standards and strong commitment to regulatory compliance

Benefits

Comp & perks

Remote work option
Collaborative and passionate team environment
Opportunity to contribute to work that helps bring safe and effective pharmaceutical treatments to patients
Diverse and inclusive workplace where everyone is welcome and every voice counts