Senior Data Engineer
S
Satori AnalyticsData & AI
Greece or anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year)Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLHadoopJavaKafkaSparkCI/CDScalaDatabricks
Requirements
- Extensive experience designing and building scalable data platforms and distributed data-processing solutions.
- Strong expertise across modern data engineering technologies — 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 delivering on cloud platforms such as Databricks, AWS, Azure, or GCP.
- Solid grasp of data governance, security, privacy, lineage, metadata management, and regulatory compliance.
- Experience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.
- Experience leading technical initiatives, influencing architecture, and mentoring engineers.
- Strong stakeholder communication skills across engineering, product, analytics, and business teams.
Responsibilities
- Design, deploy, and maintain scalable batch, streaming, and real-time data pipelines supporting business-critical marketing products and analytics workloads.
- Develop frameworks and services for ingestion, transformation, orchestration, and delivery across data lake, warehouse, and lakehouse solutions.
- Lead initiatives on platform scalability, performance, reliability, and resiliency, and strengthen data quality, observability, governance, security, and lineage across the ecosystem.
- Drive cloud migration and modernisation, evolving legacy platforms towards modern cloud-native architectures.
- Provide the trusted data foundations behind advanced analytics, reporting, AI/ML, experimentation, and customer insights.
- Establish engineering best practices, CI/CD automation, infrastructure-as-code, and operational excellence.
- Contribute technical leadership across initiatives, mentor engineers, and shape architectural decisions and technology roadmaps.
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