pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache Airflow Experience using Docker Experience using Apache Spark Benefits: Salary £40-50K per annum dependant on skills and experience 25 Days annual more »
engineer will supply advice to analytical users on how they can access and utilise the new datasets. Qualities Comfortable with Python - ideally experience with Apache Spark and Pyspark Previous data analytics software experience Able to scope new integrations and translate analytical user needs into technical requirement. UK based – data more »
Greater London, England, United Kingdom Hybrid / WFH Options
CommuniTech Recruitment Group
AWS ecosystems like Lambdas, step functions and ECS services. Experience of Dremio is a nice to have Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation more »
and Saltstack CI/CD: Jenkins, GitLab CI/CD Data/Messaging: Amazon Aurora (Postgres), ElastiCache (Redis), AmazonMQ (RabbitMQ) API: Tyk API Gateway, Apache Monitoring/Logging: Datadog and SumoLogic Security: IAM (Identity Access Management), Security Groups, mTLS Other: VPC and general networking In return, they would be more »
step functions and ECS services. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation more »
London, England, United Kingdom Hybrid / WFH Options
Pioneer Search
Senior Scala Developer - Apache Spark - Urgent Requirement Contract Length: 6 Months IR35 status: Inside Location: London - Hybrid working A Senior Scala Developer with experience in Apache Spark is needed for a British consultancy organisation. You will be an integral member of the team providing technical expertise to the more »
Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on more »
London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database Management: Handle SQL databases like Oracle, MySQL, or PostgreSQL. Data Governance: Ensure data quality, security, and compliance with best practices. Ideal Candidate more »
GoLang. - Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks. - Experience working with Open table/storage formats like delta lake, apache iceberg or apache hudi. - Experience of developing and managing real time data streaming pipelines using Change data capture (CDC), Kafka and Apachemore »
catalogue, data quality management platforms). Experience with structured and unstructured data models. Experience with one or more of the following web servers advantageous (Apache, Nginx, MS-IIS). Experience with one or more of the following databases advantageous (MySQL, MongoDB, Sybase). Experience with one or more of more »
step functions and ECS services. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation more »
Greater London, England, United Kingdom Hybrid / WFH Options
Validis
to leverage CI/CD tools to streamline data pipeline development and deployment. Proven expertise in designing and implementing ETL pipelines using tools like Apache Airflow, Luigi, Spark, or similar frameworks. Strong understanding of data warehousing concepts and data modelling techniques. Experience with SQL and proficiency in writing complex more »
Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/ more »
work is largely down to you. It can be entirely Back End. Otherwise, the stack includes Redux Saga, Ag-Grid, Node, TypeScript, gRPC, protobuf, Apache Ignite, Apache Airflow and AWS. As the application suite grows and advances in complexity, there is a decent amount of interaction with the more »
there is little work to do here. Experience is data-intensive applications is desirable here. Other technology in the stack includes Node, gRPC, protobuf, Apache Ignite, Apache Airflow and AWS. They have a hybrid-working set up that requires the team to be in the office more »
City of London, London, United Kingdom Hybrid / WFH Options
TECHNOLOGY RECWORKS LIMITED
sponsors) Knowledge and experience of the following would be advantageous: Knowledge of Enterprise Architecture Frameworks Good knowledge of Azure DevOps Pipelines Strong experience in Apache Spark framework Previous experience in designing and delivering data warehouse and business intelligence solutions using on-premises Microsoft stack (SSIS, SSRS, SSAS) Knowledge of more »
