software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or more »
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 D&A Platform more »
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 D&A Platform more »
I'm looking for a Data Engineer with skills in Databricks, Azure Data Factory and SQL Server, for a Fixed Term Contract role until August 2025. It's with an international organisation headquartered in London, and this role will require you to be in their offices near Victoria station … on the development of their newly-created Azure Data Platform - this will involve designing and developing ETL pipelines using Azure Data Factory, and utilising Databricks to support the ongoing development of the cutting-edge Data Platform. You'll seek opportunities for improvement where possible, and will collaborate with both business … including SQL Data Warehousing, ETL and Data Integration solutions Strong experience designing and developing data pipelines using Azure Data Factory Strong experience with Azure Databricks Some knowledge of the Azure tech stack would be beneficial but not essential: Databricks, Azure Data Lake, Azure Data Factory, Azure Synapse Analytics Benefits: Salary more »
Edinburgh office, typically 3 days a week from home and 2 day in office/on client site. Preferred skills: Experience with Azure and Databricks Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture Experience more »
frameworks. Problem-Solving : Strong problem-solving skills and the ability to think quickly in a dynamic environment. Technical Skills: Proficiency in Python, PySpark, Synapse, DataBricks Strong SQL skills. CI/CD practices PyTest or similar Desirable Skills and Experience: Azure/Cloud services Jenkins, Octopus, and Git. Basic understanding of more »
work in London 3 days a week, have a valid visa as we Are not able to sponsor Technical Stack:- Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow Skills years of experience in python scripting. in developing applications in Python language. to python-oriented Algorithm more »
working as a Machine Learning Engineer. Strong proficiency in Python programming language. Hands-on experience with Azure cloud services, including Azure Machine Learning, Azure Databricks, and Azure Synapse Analytics. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with version control systems such as Git. Excellent more »
of Kubernetes Programming in Terraform, Python Understanding of Docker and Associated Tech Have previously built and maintained an ML Platform Experience in working with Databricks deployments. Experience and Qualifications Programming/Code : Python, Terraform , Go (Desirable) Cloud Vendor: AWS Bachelor's in computer science or equivalent combination in education, training more »
practices. A team player with excellent communication & collaboration skills. Desirable: Experience developing and maintaining data warehouses/lakes using big data solutions (e.g., Snowflake, Databricks). Familiarity with SQL Server, PostgreSQL or NoSQL database technologies. Previous experience within banking or finance desirable, but by no means necessary. If you're more »
and reporting. Familiarity with GCP (Google Cloud Platform) for data storage and processing. Basic knowledge of Python for automation tasks is advantageous. Experience with Databricks is a plus. HOW TO APPLY To apply for this role, please use the link on this website. more »
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 or get 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, 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 more »
or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis Strong visualisation skills including experience with Tableau Familiarity with Databricks and PySpark for data manipulation and analysis Familiarity with Git-based source control methodologies, including branching and pull requests A self-starter, passionate about converting more »
Greater London, England, United Kingdom Hybrid / WFH Options
BJSS
You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »
cloud services to design, develop, and implement cutting-edge data engineering solutions. You will be working with Data Engineers in harnessing the power of Databricks and Synapse to build scalable and efficient data pipelines, data lakes, and analytical solutions. With expertise in tools like Airflow for orchestration and GitHub for … will enable real-time data processing capabilities. Key responsibilities: Lead the design, development, and maintenance of Azure-based data pipelines and analytical solutions using Databricks, Synapse, and other relevant services. Leverage SQL, PySpark, and Python to perform data transformations, aggregations, and analysis on large datasets. Architect data storage solutions using … and objectives. Your Profile Key skills/knowledge/experience: experience in Data Engineering, Solution designing and Cloud Computing. in Azure cloud services, particularly Databricks, Synapse, Azure SQL Database, and Azure Data Lake Storage. programming skills in Python, with experience developing data processing applications using PySpark. Solid understanding of SQL more »
practices for data engineering processes. Requirements: Previous experience managing a team of data engineers. Proficiency in Azure (including services like Azure Data Factory, Azure Databricks, etc.). Strong programming skills in Python . Familiarity with data modeling, ETL processes, and data warehousing. Excellent communication and leadership abilities. Additional Information: This more »
team. As a Data focused Technical Business Analyst you will have strong requirement gathering skills, Stakeholder management but also hands on experience with Azure, Databricks, Data Factory, Power BI and Azure SQL. Location : Remote (Occasionally reporting on site for meetings). Length : 6 Months+ Day Rate : £(Apply online only) per more »
Research Pricing, recommendation systems) Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, Docker Proven Experience working across Data platforms (e.g. Snowflake, Databricks) Strong Stakeholder Management experience This is an exciting opportunity to join a leading Exchange within an exciting area of the business working on a pivotal more »
and the business stakeholders Investigate and provide solutions for issues (bugs, data errors) Key skills PowerBI– DAX, Power Query (M) Power apps – Advantageous Azure, Databricks Stakeholder management What’s on Offer Up to £90k Salary Bonus package Hybrid working in either Leeds, Manchester or London + flexible hours More exciting more »
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 inside IR35 more »
skills with SQL, working with large and complex data sets to extract insights and identify trends Exposure to cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. A proven background in paid media measurement and web analytics for customer journey purposes Strong technical skills with Google Analytics (GA more »
select, design, implement and manage data lake/data warehouse platforms. (Some of the following types of providers: AWS, Microsoft Azure, Google Cloud Platform, Databricks, Snowflake, Cloudera, Spark, MongoDB) Done this at companies using high volumes of data, ideally in retailing. Other sectors where used high volume data would also more »
bring fresh ideas to the table. Key Responsibilities Engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. Databricks, Spark, Python, PySpark, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS, Parquet, Neo4J, Flask Ingest and integrate data from a large number of disparate data … in training and learn new technologies and techniques Tackle challenging project tasks demonstrating ownership and responsibility Skills: Experience in processing data using Spark/Databricks or similar Experience working in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building more »
For more information, please send an up-to-date CV to Data Engineering Manager, Data pipelines, ETL, ELT, Modern tech stack, Azure , Python, SQL, Databricks, Data Modelling, Leadership, Strategy, Global more »
