vision to convert data requirements into logical models and physical solutions. with data warehousing solutions (e.g. Snowflake) and data lake architecture, Azure Databricks/Pyspark & ADF. retail data model standards - ADRM. communication skills, organisational and time management skills. to innovate, support change and problem solve. attitude, with the ability more »
of 4 years commercial experience Strong proficiency in AWS and relevant technologies Good communication skills Preferably experience with some or all of the following; Pyspark, Kubernetes, Terraform Expeirence in a start-up/scale up or fast-paced environment is desirable. HOW TO APPLY Please register your interest by more »
Python, PySpark, AWS, Oracle, Kafka, Banking Become a key member of an agile team designing and delivering a market-leading secure and scalable reporting product. The team is migrating from Oracle to AWS cloud so experience with either is nice to have. You serve as a seasoned member of … candidates able to work under these requirements without visa sponsorship will be able to be considered at this time. Required skills: - Either Python or PySpark experience. Ideally, you will be working as either a Python Developer (3+ years) or Data Engineer using PySpark - Either AWS or Oracle. Candidates more »
data warehouse design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection Act, EU Procurement more »
Knutsford, England, United Kingdom Hybrid / WFH Options
Capgemini
warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline more »
Northamptonshire, England, United Kingdom Hybrid / WFH Options
Capgemini
warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline more »
Banking and Financial Services sector is advantageous. • Deep knowledge or experience with using as much of the following: • Azure Cloud Data Components | Databricks | Python | PySpark | Terraform | APIs | Lakehouse | Data Mesh | Nosql DBs | GitHub Person Specification • Self motivator with a desire to learn new skills and embrace new technologies in more »
Cycle · Solid understanding of agile 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 more »
experience leading a data engineering team. Key Tech: - AWS (S3, Glue, EMR, Athena, Lambda) - Snowflake, Redshift - DBT (Data Build Tool) - Programming: Python, Scala, Spark, PySpark or Ab Initio - Data pipeline orchestration (Apache Airflow) - Knowledge of SQL This is a 6 month initial contract with a trusted client of ours. more »
South Harting, England, United Kingdom Hybrid / WFH Options
Adecco
insurance sector is advantageous. - Education: A degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in more »
start interviewing ASAP. Responsibilities: Azure Cloud Data Engineering using Azure Databricks Data Warehousing Data Engineering Very strong with the Microsoft Stack ESSENTIAL knowledge of PySpark clusters Python & C# Scripting experience Experience of message queues (Kafka) Experience of containerization (Docker) FINANCIAL SERVICES EXPERIENCE (Energy/commodities trading) If you have more »
preferably GCP | Expertise in event-driven data integrations and click-stream ingestion | Proven ability in stakeholder management and project leadership | Proficiency in SQL, Python, PySpark | Solid background in data pipeline orchestration, data access, and retention tooling | Demonstrable impact on infrastructure scalability and data privacy initiatives | Collaborative spirit | Innovative problem more »
Lead Azure Data Engineer | PySpark (Python) & Synapse | Tech for Good/Charity Essential skills required: Azure – solid experience required of the Azure Data ecosystem Python - ESSENTIAL as PySpark is used heavily. You will be tested on PySpark Azure Synapse - ESSENTIAL as is used heavily Spark Azure Data … people comprising developers, data engineers, QA and DevOps. Essential skills required: Azure – solid experience required of the Azure Data ecosystem Python - ESSENTIAL as PySpark is used heavily. You will be tested on PySpark Azure Synapse - ESSENTIAL as is used heavily Spark Azure Data Lake/Data Bricks/… architecture Familiar with Synapse CI/CD Azure Purview or another governance tool experience. Familiar with building Catalogs and lineage Lead Azure Data Engineer | PySpark (Python), Synapse, Data Lake | Tech for Good/Charity more »
the opportunity to develop data pipelines into Azure & AWS, as well as contributing to some SAS development on legacy projects when required. Python or PySpark and SQL will be your bread and butter, with any experience of Airflow being a great bonus. The core skillset: Python/PySparkmore »
insurance sector is advantageous. Education: A degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in more »
such as, Code Repo, Code Workbook, Pipeline Build, migration techniques, Data Connection and Security setup. Design, develop Data Pipelines, and have excellent skills in PySpark and Spark SQL, hands on with code Build and deployment in Palantir. Must lead a team of 6-7 technical associates with PySparkmore »
SQL Server and relational databases. Solid understanding of the Azure data engineering stack, including Azure Synapse and Azure Data Lake. Programming skills in Python, PySpark, and T-SQL. Nice to haves: Familiarity with broader Azure Data Solutions, such as Azure ML Studio. Previous experience with Azure DevOps and knowledge more »
Greenwich, England, United Kingdom Hybrid / WFH Options
Source Recruit
cloud data products such as Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. * Proficiency in developing with Databricks and coding with PySpark and Spark SQL. * Experience in delivery of data and analytics solutions/applications to automate business processes and meet user function and quality characteristics more »
Azure Cloud platform Knowledge on orchestrating workloads on cloud Ability to set and lead the technical vision while balancing business drivers Strong experience with PySpark, Python programming Proficiency with APIs, containerization and orchestration is a plus Qualifications: Bachelor's and/or master’s degree About you: You are more »
related field Certifications such as Azure Data Engineer Associate are desirable. Knowledge of data ingestion methods for real-time and batch processing Proficiency in PySpark and debugging Apache Spark workloads. What’s in it for you? Annual bonus scheme – up to 10% Excellent pension scheme Flexible working Enhanced family more »
Programming: Proficiency in Python, SQL. Microsoft Azure: Experience with Azure Synapse Analytics and Azure Data Factory. ETL: Experience in designing and managing ETL processes. PySpark: Strong experience with PySpark. Remote Work: Effective communication and collaboration skills. We look forward to receiving your application more »
Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and implementation principles Data warehousing design patterns and implementation Benefits : £50-£60k DOE Mainly home based more »
of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Pyspark, Databricks Commercial experience with performant database programming in SQL Capability to solve complex technical issues, comprehending risks prior to the circumstance. Please apply today more »
City Of London, England, United Kingdom Hybrid / WFH Options
RJC Group
experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined up for later more »
