reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. Proven leadership experience More ❯
london (hammersmith), south east england, United Kingdom
OpenSource
reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. Proven leadership experience More ❯
days from home. Key Skills Hands-on experience working with Teradata and other data warehouses. Deep expertise in Teradata architecture, star schema, snowflake schema, SQL optimization, and Data Modelling. Experience in implementing Teradata utilities (BTEQ, Fast Load, Multiload, TPT, etc.) for efficient data loading. Expertise in Teradata utilities such More ❯
customer-facing role in the technology industry Experience in working with data lakes, modern data architectures, Lambda type architectures Proficiency in writing and optimizing SQL Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS Experience with Open Source Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) Ability … Java, etc) Experience building data products incrementally and integrating and managing datasets from multiple sources Query performance tuning skills using Unix profiling tools and SQL Experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies Linux More ❯
the best technical design and approach for new solution development. BASIC QUALIFICATIONS - Bachelor's in Computer Science, or a related field and expertise with SQL and NoSQL databases (e.g. MySQL, MongoDB, PostgreSQL, Dynamo DB), web servers (e.g. Apache, Apache Tomcat). - Expertise in Python/R and experience with … CI/CD. - Experience with distributed version control such as Git and basic knowledge of Linux environments. PREFERRED QUALIFICATIONS - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets. - Knowledge of AWS Infrastructure. - Experience in communicating with users, other technical teams, and management More ❯
solutions. Minimum Requirements 1+ years of data engineering experience. Experience with data modeling, warehousing, and building ETL pipelines. Proficiency in query languages such as SQL, PL/SQL, HiveQL, SparkSQL, or Scala. Experience with scripting languages like Python or KornShell. Knowledge of writing and optimizing SQL queries More ❯
Your work will directly support migration initiatives, analytics enablement, and platform reliability. You'll be responsible for data pipeline development, resource deployment, and ongoing optimisation of cloud-native systems. Your responsibilities will include: Designing and implementing scalable data lakehouse architectures using Databricks on Azure. Building efficient ETL/ELT … pipelines for structured and unstructured data. Working with stakeholders to ensure high-quality, accessible data delivery. Optimising SQL workloads and data flows for analytics performance. Automating infrastructure deployment using Terraform and maintaining CI/CD practices. Supporting secure and performant data access via cloud-based networking. KEY SKILLS AND … REQUIREMENTS Strong experience with Azure Databricks in production environments. Background with Azure Data Factory, Azure Functions, and Synapse Analytics. Proficient in Python and advanced SQL, including query tuning and optimisation. Hands-on experience with big data tools such as Spark, Hadoop, and Kafka. Familiarity with CI/CD pipelines More ❯
Your work will directly support migration initiatives, analytics enablement, and platform reliability. You'll be responsible for data pipeline development, resource deployment, and ongoing optimisation of cloud-native systems. Your responsibilities will include: Designing and implementing scalable data lakehouse architectures using Databricks on Azure. Building efficient ETL/ELT … pipelines for structured and unstructured data. Working with stakeholders to ensure high-quality, accessible data delivery. Optimising SQL workloads and data flows for analytics performance. Automating infrastructure deployment using Terraform and maintaining CI/CD practices. Supporting secure and performant data access via cloud-based networking. KEY SKILLS AND … REQUIREMENTS Strong experience with Azure Databricks in production environments. Background with Azure Data Factory, Azure Functions, and Synapse Analytics. Proficient in Python and advanced SQL, including query tuning and optimisation. Hands-on experience with big data tools such as Spark, Hadoop, and Kafka. Familiarity with CI/CD pipelines More ❯
with the Analytics and Insights teams is essential to ensure they have seamless access to the necessary data, as well as assisting in optimizing SQL reporting processes. The ideal candidate will: Possess a strong curiosity and passion for exploring, transforming, and integrating data from diverse sources. Be adept at … with excellent communication skills and the confidence to engage with various stakeholders. Key Responsibilities: Support the development of the data warehouse and enhance the SQL reporting framework. Design, implement, and manage data pipelines to gather, process, and store information from multiple data sources, automating the transition from UAT to … evolve the Single Customer View to consolidate data from various sources. Demonstrate hands-on experience with Microsoft Azure technologies (including Synapse Analytics, Datalake, Azure SQL), as well as familiarity with DevOps and GitHub practices. Contract Details: Initially a Fixed Term Contract, likely transitioning to Permanent. 1-2 days a More ❯
with the Analytics and Insights teams is essential to ensure they have seamless access to the necessary data, as well as assisting in optimizing SQL reporting processes. The ideal candidate will: Possess a strong curiosity and passion for exploring, transforming, and integrating data from diverse sources. Be adept at … with excellent communication skills and the confidence to engage with various stakeholders. Key Responsibilities: Support the development of the data warehouse and enhance the SQL reporting framework. Design, implement, and manage data pipelines to gather, process, and store information from multiple data sources, automating the transition from UAT to … evolve the Single Customer View to consolidate data from various sources. Demonstrate hands-on experience with Microsoft Azure technologies (including Synapse Analytics, Datalake, Azure SQL), as well as familiarity with DevOps and GitHub practices. This role could accommodate 1 visit a month/fully remote for the right individual More ❯
