converting SAS-based modules to Python-based solutions. Strong understanding of data management principles and experience working with Snowflake. Proficiency in Python, DBT, and Airflow or similar technologies. Excellent problem-solving skills and ability to troubleshoot complex issues. Experience working in an Agile environment and collaborating with cross-functional more »
an exciting opportunity with one of our multinational retail clients. Skills & Experience: - Experience working within a global organisation - Google Cloud Platform (GCP) - Background using Airflow/Cloud Composer with Python - Cloud-Based data platforms, Snowflake or BigQuery - Advanced SQL - Data Transformation tools, DBT - CI/CD - TDD If you more »
an exciting opportunity with one of our multinational retail clients. Skills & Experience: - Experience working within a global organisation - Google Cloud Platform (GCP) - Background using Airflow/Cloud Composer with Python - Cloud-Based data platforms, Snowflake or BigQuery - Advanced SQL - Data Transformation tools, DBT - CI/CD - TDD If you more »
GCP) is highly preferred (experience with other cloud platforms like AWS or Azure is also considered). Familiarity with data pipeline scheduling tools like Apache Airflow. Ability to design, build, and maintain data pipelines for efficient data flow and processing. Understanding of data warehousing best practices and experience in more »
MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you’ll get in return: Salary up to £120,000 depending on experience Share Program Flexible more »
MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you'll get in return: Salary up to £120,000 dependant on experience Share Program Flexible more »
range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic background with some commercial experience in a data heavy more »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
Mirus Talent
mandatory, familiarity with the following technologies and tools would be advantageous: Dagster (or similar Orchestration Tools) : Experience with Dagster or other orchestration tools like Airflow for managing complex data workflows and pipelines. Qlik Sense Cloud (or similar Reporting Tools) : Knowledge of Qlik Sense Cloud or similar reporting tools such more »
London, England, United Kingdom Hybrid / WFH Options
Jobleads-UK
Continuous Delivery Continuous integration pipelines Strong Python AWS or Azure with large-scale streaming data (Pulsar, Kafka, Kinesis, etc) ETL management; structured or custom (Airflow, Luigi, etc) Bonus Robust experience managing and developing an engineering team Delta lake or Iceberg Trino or Presto Graphql Good salary, bonus, stock options more »
web scraping and other data ingestion methods and tools. Knowledge of distributed computing frameworks (Hadoop, Spark, Hive, Presto). Experience with data orchestration tools (Airflow, Orchestra, Azkaban). Expertise in cloud data warehousing and core data modelling concepts. Proficiency in version control systems (Git) and experience with CI/ 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 »
of SQL with vast amount of experience developing data pipelines in a cloud based database environment (e.g.BigQuery), including scheduling your own queries (e.g. using Airflow or Stitch) Demonstrated experience delivering data products in a modern BI technology (ideally Looker) or open source data frameworks Experience using programming languages (e.g. 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 »
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 »
Agile software development and system architecture within the Telco OSS domain, with preferred experience in Network GIS (Hexagon, IQ Geo) and workflow tooling (Appian, ApacheAirflow). Strong understanding of platform and product dynamics, including Platform Engineering and its relevance to OSS. Extensive background in DevOps practices, encompassing 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 »
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 »
has multiple years of experience using Snowflake as a data tool and can hit the ground running Experience Snowflake Financial services Cloud (Ideally azure) Airflow would be an advantage more »
have Terraform experience SQL & NoSQL experience Have built out Data Warehouses & built Data Pipelines Strong Databricks & Snowflake experience Docker, ECS, Kubernetes & Orchestration tools like Airflow or Step Functions are nice to have Contracts are running for 6 months initially, paying up to £450p/day (Outside IR35) and will 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 »
Data Engineer Experience working with AI frameworks and libraries (PyTorch) Confidence collaborating in a complex and cross-functional teams Strong skills with: AWS, Python, Airflow, Snowflake Interested ? Apply now or reach out to daisy@wearenumi.com for further details and a chat more »
hands on and will require exposure to some essential tools and a high level of financial knowledge. Good exposure to AWS technologies is essential, Airflow would be desirable. Experience with batch processing is required. Experience working with a Linux environment. Scripting exposure within either Python, Bash or Shell scripting. 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 »
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Confidential
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 »
