Data Engineer

Satori Analytics

. Design, build, and operate scalable data platforms for marketing products.

Posted 9/18/2026full-timeAthens • GreeceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data platforms, with a strong focus on ETL processes, data governance, and cloud-native services. Proficient in leveraging tools like Databricks and Azure for analytics and machine learning initiatives.

Highest-signal resume keywords

ETL Pipeline DevelopmentData ModelingCloud Data ServicesData GovernanceAgile Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonPySparkSparkKafkaHadoopData ArchitectureData Lifecycle ManagementCI/CDDevOps Automation

Soft Skills

Problem-SolvingJudgement

Tools & Technologies

DatabricksAzure Data FactoryMS FabricAWSGCPObservability Frameworks

Certifications & Qualifications

BSc or MSc in Computer ScienceSoftware EngineeringData Science

Industry Keywords

Data PlatformsAnalyticsMachine LearningData QualityRegulatory Compliance

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformHadoopJavaKafkaPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, build, and operate scalable data platforms for marketing products.
Enable campaign measurement, customer insights, reporting, and AI/ML initiatives.
Independently design and maintain scalable ETL pipelines delivering clean, analytics- and AI-ready data.
Develop, optimize, and automate data processes using SQL, Python, PySpark, MS Fabric, Azure Data Factory, Databricks, and Snowflake.
Design robust ETL processes, scalable data models, and optimized design patterns for analytics and BI workloads.
Ensure data quality and governance through automated checks, monitoring, source-to-target mapping, data lineage, and continuous improvements.
Collaborate with Product, Engineering, Data Science, and Business stakeholders to understand requirements and business semantics.
Troubleshoot, optimize, and support production pipelines.
Use Git and Agile practices in collaborative, iterative projects.

Requirements

What you’ll need

BSc or MSc degree in Computer Science, Software Engineering, Data Science, or a relevant field.
Minimum 3 years of experience designing and building scalable data platforms and distributed data-processing solutions.
Strong expertise in Spark, Kafka, Hadoop ecosystem tools, cloud-native data services, and large-scale processing frameworks.
Proficiency in one or more of Python, Java, Scala, or SQL.
Deep understanding of data modelling, ETL/ELT design patterns, data architecture, and data lifecycle management.
Track record building pipelines for analytics, reporting, ML, and operational data products.
Hands-on experience with Databricks, AWS, Azure, or GCP.
Understanding of data governance, security, privacy, lineage, metadata management, and regulatory compliance.
Experience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.
Strong problem-solving skills for diagnosing complex issues in distributed environments.
Judgement to balance technical excellence with business priorities.

Benefits

Comp & perks

Competitive salary – A rewarding package that reflects your skills and experience.
Flexible working – Flexible hybrid model in the modern Athens office or remote work from anywhere in the European Economic Area (EU, Switzerland, etc.) or UK (up to 6 weeks per year).
Private insurance.
Top-tier tech gear.
Training budget for certifications and courses from Microsoft, AWS, Salesforce, Databricks and other technology partners.
Career growth opportunities.
Collaborative, supportive team culture.
Social events and celebrations.
Exclusive employee benefits.
Modern tools and technology.
Employee well-being support.