Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (ApacheBeam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (ApacheBeam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (ApacheBeam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
applications and high proficiency SQL for complex querying and performance tuning. ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (ApacheBeam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability More ❯
leadership role. Experience with machine learning, natural language processing (NLP), or generative AI and large language models (LLMs). Experience building complex data processing pipelines with tools like Kafka, ApacheBeam (Dataflow) or Spark and with time-series data and financial market data feeds. Understanding of Google Cloud Platform services (e.g., BigQuery, Google Kubernetes Engine, Pub/Sub More ❯
constructive feedback to foster accountability, growth, and collaboration within the team. Who You Are Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark. Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments. Skilled in Cloud-based Environments: Proficient with large-scale data More ❯
