City of London, London, Westminster Abbey, United Kingdom Hybrid / WFH Options
Department of Work & Pensions
is currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work, we offer a supportive and inclusive environment where you can grow your career and … make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An understanding of dimensional modelling Details. Wages. Perks. You'll join us 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 »
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 »
Croydon, England, United Kingdom Hybrid / WFH Options
Hawksworth
Hawksworth UK are partnering with a Global Insurance firm to find a ‘ Senior Pricing Analyst’ for Motor OR Home in the Research & Development (R&D) team. The position can be based in Croydon OR Birmingham with hybrid working (just x2 more »
Data Engineer - Azure Databricks CONTRACT - London (Hybrid) Data warehousing - Trading - Credit/Market Risk Harrington Starr is working with a leading Energy trading firm in London on an initial 6-month contract for a market-leading project. The project is signed off and they are looking to 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 the above, please do more »
Greater London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
pipeline and ETL processes using Azure data Factory, Azure Data Lake and Azure Databricks. Exceptional experience developing codes, testing for quality assurance, administering Azure Databricks platform and exposure to Unity Catalog. Exposure of Performance Tuning, Optimization, Governance and Security of Databricks platform. Experience in designing scalable solutions using Azure Data more »
Eames Consulting are delighted to be supporting an established Investment management company that are looking for a Data engineer. Responsibilities: Develop and maintain complex SQL queries, customize reports, and optimize data usage. Create tools to address business challenges and empower more »
Better Placed Ltd - A Sunday Times Top 10 Employer in 2023!
experience working as a Data Engineer, preferably on the Azure platform. Strong knowledge of Azure data services, such as Azure Data Lake Storage, Azure Databricks, and Azure SQL Database. Proficiency in SQL and programming languages like Python or Scala. Experience with data modeling and ETL/ELT concepts. Strong problem more »
Product mindset with customers in mindset is highly desirable requirement. Tech Stack: (Essential) Programming: Terraform & Python DevOps & IAC - Kubernetes - container management Docker - Orchestration Services Databricks - Deployments Machine Learning Go programming You'll need extensive Python and Terraform , having worked on Back End and Front End services and must have Databricksmore »
and data and information systems design Experience with data management, database management systems, data services (including APIs), and enterprise data platform technologies (e.g. Fabric, Databricks, Snowflake, etc.) Experience architecting data-centric solutions at a conceptual, logical and physical level Experience in architecting, designing and implementing solutions on AWS and Microsoft more »
Solid experience as Python Data API Developer Experience developing Python APIs and documentation Experience with automated diagram generation Experience with data pipelines tooling e.g. Databricks Attention to detail with a proven focus on quality BSc in Computer Science, Engineering or relevant field This role will be Inside IR35 This is more »
the ground to $500 million acquisition previously - Company founders are Ex-VP’s for market leading companies - Investor Leadership team invested in likes of Databricks, AppDynamics, Coinbase etc.. - All executive team are ‘Start-up guru’s’ with multiple use cases of exit’s between them - VP Sales has previously scaled 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 »
them on delivering and implementing new data pipelines. You will need prior financial services experience as well as having strong Azure Data Factory and Databricks experience. Work Involved: Implementing and delivering data pipelines Providing mentorship to junior members of the team Working with the Platform team defining capabilities for the … lake framework Developing business conceptual data models Producing new frameworks using design patterns and data ingestion Requirements: Strong Data Pipeline experience Databricks Azure Data Factory Spark Azure cloud Financial Services If you're interested get in touch ASAP more »
Senior Cloud and Data Architect (Azure, AWS, GCP, Snowflake, Databricks) Responsibilities: 15 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in various Cloud technologies - Azure, AWS, GCP Data Analytics: Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP more »
Data Scientist 6-Month Contract £600/day-£640/day (Inside IR35) London - Hybrid - 1 day per week in the office We are representing a large-scale B2C Tech company who are looking for a Data Scientist to join more »
Data Engineer - Azure Databricks - London - £75K I'm looking for a Data Engineer to work on developing products and solutions in Azure. you will have the opportunity to up skill in complex areas of cloud based engineering solutions in the very latest tech. My client sit within the construction industry … really get the most from their data. They are looking for someone with core skills in SQL complimented with Azure experience (Azure Data Factory, Databricks, PySpark etc) This is a very exciting time to join as they shake things up across the industry, so please get in touch asap to … solutions. Working with and modelling data warehouses. Skills & Qualifications Strong technical expertise using SQL Server and Azure Data Factory for ETL Solid experience with Databricks, PySpark etc. Understanding of Agile methodologies including use of Git Experience with Python and Spark Benefits £65,000 - £75,000 Bonus To apply for this more »
within a technical delivery team to support non-technical users. You'll have proven experience balancing multiple priorities, as well as experience working with Databricks and the Databricks Unity Catalog. To be successful in this role you'll also have the following skills and experience: Excellent planning, organisational and time 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 »
storage Highly Preferred Technical Skills: Experience with Kubernetes for container orchestration and data platform scalability Expertise in database tuning for performance optimization Familiarity with Databricks for large-scale data processing If interested, please apply or message me directly at more »
create effective data models supporting business processes, including knowledge of dimensional modeling and normalization. Familiarity with big data technologies on Azure, such as Azure Databricks and Azure Stream Analytics. Knowledge of data security practices, cloud architecture principles, scripting languages for automation, data visualization tools, DevOps practices, machine learning frameworks, performance more »
an organization who are committed to utilizing the latest Microsoft technologies! Requirements: Hands-on experience with Azure Data Factory Hands-on experience with Azure Databricks Excellent SQL and T-SQL skills Visualisation experience using Power BI and use of DAX Experience of working in Agile teams Excellent communication and stakeholder more »
data transformation tools, and data governance techniques Good understanding of 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 more »
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 »