Senior Data Engineer @ Harvey Nash Technology

What You’ll Do

Design, build, and enhance data pipelines for streaming and batch processing  Extend and support our AWS cloud data platform  Develop features using Databricks pipelines, Unity Catalog, and Spark Streaming   Lead and mentor the team, promoting best practices and process improvements  Gather requirements from stakeholders and deliver high-quality solutions  Partner with customers to ensure project success

What You’ll Bring

3+ years of strong Python development experience and solid engineering practices  Expertise in microservices frameworks and event-driven architectures  Advanced Spark skills (PySpark, Scala) with experience in scalable, maintainable pipelines  Experience with Spark Streaming and Delta Lake  Familiarity with Kubernetes and MongoDB  Proven AWS cloud experience  Strong communication and a commitment to high ethical standards

• 3+ years of strong Python development experience and solid engineering practices
• Expertise in microservices frameworks and event-driven architectures
• Advanced Spark skills (PySpark, Scala) with experience in scalable, maintainable pipelines
• Experience with Spark Streaming and Delta Lake
• Familiarity with Kubernetes and MongoDB
• Proven AWS cloud experience

What You’ll Do

Design, build, and enhance data pipelines for streaming and batch processing  Extend and support our AWS cloud data platform  Develop features using Databricks pipelines, Unity Catalog, and Spark Streaming   Lead and mentor the team, promoting best practices and process improvements  Gather requirements from stakeholders and deliver high-quality solutions  Partner with customers to ensure project success

What You’ll Bring

3+ years of strong Python development experience and solid engineering practices  Expertise in microservices frameworks and event-driven architectures  Advanced Spark skills (PySpark, Scala) with experience in scalable, maintainable pipelines  Experience with Spark Streaming and Delta Lake  Familiarity with Kubernetes and MongoDB  Proven AWS cloud experience  Strong communication and a commitment to high ethical standards

What You’ll Do, Design, build, and enhance data pipelines for streaming and batch processing  Extend and support our AWS cloud data platform  Develop features using Databricks pipelines, Unity Catalog, and Spark Streaming   Lead and mentor the team, promoting best practices and process improvements  Gather requirements from stakeholders and deliver high-quality solutions  Partner with customers to ensure project success ] Requirements : Data pipelines, AWS, Cloud, Databricks, UNITY, Spark Streaming, Python, Microservices, Spark, PySpark, Scala, Kubernetes, MongoDB Additionally : Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Small teams, Free coffee, Canteen, Bike parking, Playroom, Free snacks, Free beverages, In-house trainings, Modern office, Startup atmosphere.