City of London, London, United Kingdom Hybrid / WFH Options
Medialab Group
data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to CI/CD pipelines (GitLab CI preferred). Experience with advertising or media data is a plus. More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Medialab Group
data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to CI/CD pipelines (GitLab CI preferred). Experience with advertising or media data is a plus. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hexegic
to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Hexegic
to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hunter Bond
in Python for data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Hunter Bond
in Python for data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly 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 (Apache Beam) 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 to More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Rise Technical Recruitment Limited
a trusted partner across a wide range of businesses. In this role you'll take ownership of the reliability and performance of large-scale date pipelines built on AWS, Apache Flink, Kafka, and Python. You'll play a key role in diagnosing incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure. The ideal … candidate will have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, Apache Flink, Kafka, and Python. This is a fantastic opportunity to step into a SRE role focused on data reliability in a modern cloud native environment, with full ownership of incident management … with various other departments and teams to architect scalable, fault-tolerant data solutions The Person: *Experience in a data-focused SRE, Data Platform, or DevOps role *Strong knowledge of Apache Flink, Kafka, and Python in production environments *Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.) *Comfortable with monitoring tools, distributed systems debugging, and incident response More ❯