Manchester, Greater Manchester, United Kingdom Hybrid / WFH Options
AutoTrader UK
robust and scalable web hosting and data platforms. Our platform is a layer on top of core Open Source technologies such as Kubernetes, Istio, Airflow, dbt, running in Public Cloud. It is the glue that allows our teams to deploy into production environments 100s of times per day with more »
extensive experience having designed and scaled a Data Platform- Has strong Python skills,- Has great SQL, preferably Snowflake- Has previous experience working with dbt & Airflow- Is passionate about solving complex data problems & is interested in working with rich & diverse climate datasets- Cares deeply about the climate and ecosystems of more »
processing and analytics Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an more »
tooling: containers (e.g., Docker) container orchestration (Kubernetes/K8s) CI/CD experience Version control (Git, Github, Gitlab) Orchestration/DAGs tools (e.g., Argo, Airflow, Kubeflow) Infrastructure as Code (Terraform, etc.) HOW TO APPLY Please register your interest by sending your CV to niall.wharton@@xcede.com or click the Apply more »
DBT (Data Build Tool). Experience with FastAPI. Familiarity with Python UI framework packages. Knowledge of Apigee (as an app developer). Familiarity with Airflow (as an app developer). Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. If you are passionate about data engineering more »
financial services or energy trading industry Expertise in Python and its ecosystem of libraries and frameworks for data processing, data analysis and data visualisation Airflow, detailed understanding of architecture including schedulers, executers, operators Cloud Environments, understanding of principles, technologies and services for AWS/Azure Kubernetes EKS/AKS … including high availability Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an more »
data processing, data analysis and data visualisation SQL and Timeseries databases cloud AWS services, such as S3, EC2, RDS etc ETL tools, such as Airflow Git, CI/CD, testing tools, supporting documentation and best practices best practice and tooling including TDD, BDD Domain and soft skills summary office more »
required: Python SQL Kubernetes CI/CD experience with relevant tooling with Jenkins, Docker or Terraform Cloud services experience with AWS/Azure Ideally: Airflow Java Experience working with front office trading systems and financial market data For more information on this role or any other contract/permanent more »
AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex technical issues, comprehending risks prior to 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, ApacheAirflow). Good understanding of data modelling, algorithm, and data transformation techniques to work with data platforms. Working knowledge of cloud development practices more »
existing systems and ingestion pipelines. Requirements: Proven experience working with Python or Java or C# Experience working with ELT/ELT technologies such as Airflow, Argo, Dagster, Spark, Hive Strong technical expertise, especially in data processing and exploration, with a willingness to learn new technologies. A passion for automation more »
how these and other technologies can be applied to business problems to generate value. We currently work in an AWS, Snowflake, Looker, Python and airflow stack; you should be comfortable with these (or similar). The person we’re looking for We are looking for a self-starter who more »
Azure SQL Data Warehouse, or Amazon Redshift Support and learn the associated scheduling logic for data pipelines using scheduling tool such as Autosys or Airflow Read and translate logical data models and use ETL skills to load the physical layer, based on an understanding of timing of data loads more »
data processing, analysis, and visualization libraries Experienced with SQL and Timeseries databases Skilled in AWS services: S3, EC2, RDS Knowledgeable in ETL tools like Airflow Proficient in Git, CI/CD, testing tools, and documentation best practices Adheres to quality engineering practices including TDD and BDD Nice to have more »
methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills: · Skilled with Python or PySpark · Exposure to cloud technologies (Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka) · Experience with Big Data solutions or Relational DB. · Experience in Financial Service Industry is a bonus. more »
on refactoring or optimizing outdated approaches Good understanding of data security You may have: Experience/knowledge of the care industry Experience with Python Airflow or equivalent orchestration tools Working experience with APIs and development Please note that we are only able to accept applicants with the right to more »
Mathematics, Finance, Accounting, Economics or a related field or equivalent work experience (3+ years) Experience in: Some knowledge of database orchestration technologies + ETL (Airflow, DBT, Databricks) Working understanding of financial concepts and systems Ability to recognize and diagnose potential errors or data inconsistencies between multiple reports Working knowledge more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
BlackRock
DevOps automation, idempotent deployment testing, and continuous delivery pipelines Networking and security protocols, load balancers, API Gateways ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte) Data modeling, and strategies for cleaning and validating data at scale Performance tuning on RDBMS or Big Data tools for row- and more »
testing, and maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as ApacheAirflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics 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 ApacheAirflow, AWS Backup & S3 versioning Solid understanding of CI/CD concepts and experience implementing CI/CD pipelines using tools like Jenkins more »
load data to Snowflake. Converting SAS based module to python based Candidates who have data management experience in Snowflake with expertise in Python, DBT, Airflow or similar technologies Must have hands on experience in DBT & SQL Snowflake (added advantage more »
engineer who has hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc.Very solution-driven, and highly collaborative at providing thought leadership and soliciting diverse opinionsAccountable for results. Experienced in leading team of more »
Manchester Area, United Kingdom Hybrid / WFH Options
Maxwell Bond
successful Lead Data Engineer will have: Experience leading a Data Engineering team. Extensive working experience with GCP, SQL and DBT. Proficient in: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. What's in it for the successful Lead Data Engineer: Hybrid working for a better work/ more »
Proven experience in MLOps and deploying machine learning models on Kubernetes. Proficiency in cloud technologies, AWS, GCP, Azure Experience with data orchestration tools (e.g., ApacheAirflow). Familiarity with Terraform for CI/CD and infrastructure as code. Strong programming skills in software development. A cloud-agnostic mindset more »
