as Python, R, or JavaScript Strong understanding of data modeling and data visualization best practices Experience with data processing tools and technologies, such as Apache Spark, Hadoop, or Hive (preferred) Familiarity with data visualization tools like Power BI, QlikView, or D3.js (preferred) Strong problem-solving and analytical skills Excellent more »
developing and optimising ETL pipelines. Version Control: Experience with Git for code collaboration and change tracking. Data Pipeline Tools: Proficiency with tools such as Apache Airflow. Cloud Platforms: Familiarity with AWS, Azure, Snowflake, and GCP. Visualisation: Tableau or PowerBI Delivery Tools: Familiarity with agile backlogs, code repositories, automated builds more »
pipelines solutions for the ingestion, transformation, and serving of data, as well as solutions for the orchestration of pipeline components (e.g. AWS Step Functions, Apache Airflow). Good understanding of data modelling, algorithm, and data transformation techniques to work with data platforms. Working knowledge of cloud development practices (AWS more »
a production setting. Knowledge of developing real-time data stream systems (ideally Kafka). Proven track record in developing data systems using PySpark and Apache Spark for batch processing. Capable of managing data intake from various sources, including data streams, unstructured data, relational databases, and NoSQL databases. Extensive knowledge more »
and Data Science Closely collaborate with data scientists, product and engineers to innovate and refine the next ML initiatives Good knowledge in Python, SQL, Apache Airflow, Docker, NoSQL Proficiency using tools like Terraform for Infrastructure-as-Code and GCP infrastructure management. Salary Range and Benefits: We are paying competitive more »
London, England, United Kingdom Hybrid / WFH Options
Client Server
to production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool more »
offs explicit and understandable to others REQUIREMENTS 7+ years' coding experience, including 3 years in a dedicated ML Engineering role 2+ years’ experience with Apache Spark Experience working with GB+ scale data Experience with deployed ML services Experience deploying multiple ML projects across different environments Productionisation experience in at more »
Greater London, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
use Java (for a very small amount of scripting work) Have public cloud experience with AWS or other cloud providers Have an understanding of Apache products such as Kafka and Flake Good knowledge of development using CI/CD Bonus points if you knowledge of: Web products Financial markets more »
experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within our stack: AWS/Apache beam/Kafka. Experience with Object Orientated Programming A desire to work in the commodities/trading sector. Permanent/Full-Time Employment. Hybrid 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 »
testing, and maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. more »
and IAM. Experience with containerization and orchestration tools, particularly Kubernetes. Proficiency in infrastructure as code tools such as Terraform, Ansible, or CloudFormation. Experience in Apache Airflow, AWS Backup & S3 versioning Solid understanding of CI/CD concepts and experience implementing CI/CD pipelines using tools like Jenkins, GitLab more »
engineers of varying levels of experience. Flexibility and willingness to adapt to new software and techniques. Nice to Have Experience working with projects in Apache Spark, Databricks of similar. Expert cloud platform knowledge, e.g. Azure What will be your key responsibilities? A technical expert and leader on the Petcare more »
master and meta data management Experience with Azure SQL Database, Azure Data Factory, Azure Storage, Azure IaaS/PaaS related database implementations. Experience with Apache spark and new Fabric framework would be a plus. more »
teams to support the orchestration of our ETL pipelines using Airflow and manage our tech stack including Python, Next.js, Airflow, PostgreSQL MongoDB, Kafka and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and quickly resolving production issues. Contribute to more »
development (ideally AWS) Knowledge and ideally hands-on experience with data streaming, event-based architectures and Kafka Strong communication and interpersonal skills Experience with Apache Spark or Apache Flink would be ideal, but not essential Please note, this role is unable to provide sponsorship. If this role sounds more »
are looking for a skilled DevSecOps Engineer to join our team. The ideal candidate will have strong knowledge in operational procedures, data transformation using Apache Spark, AWS RDS (MySQL), and working with Hadoop. Familiarity with Tableau and Red Hat Decision Center is also required. Security clearance (SC) is mandatory. … Requirements: Experience in a DevSecOps role. Strong operational procedures knowledge. Proficient in Apache Spark, AWS RDS (MySQL), and Hadoop. Knowledge of Tableau and Red Hat Decision Central Key Responsibilities: Manage operational procedures. Transform and process data using Apache Spark. Administer AWS RDS with MySQL. Work with the Hadoop more »
Lead Data Engineer (Director) - Individual contributor - Azure, Data Factory, Databricks, Apache Spark - London Based I am hiring for a Lead Data Engineer for a crucial role within one of my Investment Bank clients in London. This role is at Director level as they require a very senior candidate to … Leading data engineering practices Support current applications Introduce AI practices to the team/project Communicate key successes with stakeholders Key Skills: Azure Databricks Apache Spark Datascience, AI, ML Certifications or continued upskilling/contribution to blog posts within Data & AI beneficial but not essential. This is a full … without sponsorship, if you are interested please apply or email me directly - aaron.dhammi@nicollcurtin.com Lead Data Engineer (Director) - Individual contributor - Azure, Data Factory, Databricks, Apache Spark - London Based more »
up and learn new technologies and frameworks Nice to have: Knowledge of databases, SQL Familiarity with Boost ASIO Familiarity with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers, Flatbuffers Experience with gRPC, http/REST and Websocket protocols Experience with Google Cloud/AWS and/ more »
