systems. Contribute to a culture of results-driven collaboration, support and respect. What You'll Bring to the Role Approx. 8 years' experience using SQL or Python for data analysis, with about 3 years' experience in P&C insurance. A degree at BSc or MSc level in a Numerical field More ❯
Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork More ❯
skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong SQL experience. Strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science More ❯
london, south east england, united kingdom Hybrid / WFH Options
Eden Smith Group
skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong SQL experience. Strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science More ❯
experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of CI/CD pipelines and version control (e.g., Git). More ❯
london, south east england, united kingdom Hybrid / WFH Options
DATAHEAD
experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of CI/CD pipelines and version control (e.g., Git). More ❯
you'll need to succeed Great experience working in Financial Services and in Asset Management or private equity. Fantastic experience with Microsoft Azure Cloud, SQL as well as with Microsoft Data Factory and Logic App/Azure Functions to support/development. Expertise with Power BI and DAX (for intelligence More ❯
you'll need to succeed Great experience working in Financial Services and in Asset Management or private equity. Fantastic experience with Microsoft Azure Cloud, SQL as well as with Microsoft Data Factory and Logic App/Azure Functions to support/development. Expertise with Power BI and DAX (for intelligence More ❯
science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science More ❯
science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science More ❯
CRM capabilities, extensibilities, and solution design. Experience in Power Platform development (Power Apps, Dataverse, Power Automate). Proficiency in .NET Framework (4.5+), Web API, SQL Server (SSRS, FetchXML). Hands-on experience with C#, JavaScript, HTML, CSS, JSON, XML, and SQL. Desirable Skills & Experience: Knowledge of Microsoft Azure. Experience with More ❯
s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Intellect Group
s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data More ❯
manner. Strong computer skills in MS Office suite (skills in programming and machine learning are highly beneficial). Demonstrable coding skills in e.g. Python, SQL, R. Experience of Geospatial mapping software e.g. ArcGIS/Mapping Tools. Data visualisation e.g. Tableau or PowerBI. How we support our colleagues In addition to More ❯
similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such More ❯
ELT ingestion pipeline with tools like DataStage, Informatica, Matillion, DBT. Understanding of Snowflake roles and user security Understanding of Snowflake capabilities like Snowpipe, etc. SQL scripting Cloud experience on AWS (Azure, GCP are nice to have as well) Python Scripting is a plus Hakkoda is an exciting, high growth company More ❯
Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology More ❯
visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience with forecasting and statistical analysis Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such More ❯
Our ideal candidate: Strong experience in Designing and delivering Azure based data platform solutions, technologies including: Azure Data Bricks, Azure Synapse Analytics. Azure MS SQL Managed Service/Azure PostgreSQL. Azure ADF and Data Bricks, Azure Functions, App Service, Logic App, AKS, Azure App Service, Web App. Good knowledge in More ❯
design, and distributed systems. Deep understanding of DevOps practices, CI/CD pipelines, and infrastructure as code (IaC). Familiarity with data architecture, databases (SQL/NoSQL), and big data technologies. Excellent problem-solving and analytical skills. Strong communication, leadership, and interpersonal abilities. Qualifications: Bachelor's or Master's degree More ❯
goals. Desirable Knowledge of Financial Markets, Particularly Oil, Gas, and Commodities. Business Analysis Skills including requirements gathering, process mapping, and data analysis. Experience with SQL, C#.Net, Git, Python (Panda, Numpy, ML libraries), and data visualization tools such as Power BI or Tableau. Benefits & perks Competitive salary Vitality health insurance and More ❯
software development, ideally including the use of relational databases. Experience with scripting and object-oriented programming languages such as Python, Java, C++/C#, SQL, etc. Ability to troubleshoot complex processes, software issues, and software configuration. Excellent verbal and written communication skills and ability to interact professionally with a diverse More ❯
ensuring solutions deliver tangible business outcomes. Proven experience of building and deploying scalable predictive/ML solutions that deliver measurable business value. Proficiency in SQL and Python/R is essential. Hands-on experience with Databricks and Power BI is desirable. Familiarity with agile methodologies and tools (e.g., Jira, Azure More ❯
but not essential (if newly qualified). Excellent academics. Highly analytical mindset. Strong skills in data manipulation and analysis using tools such as Excel, SQL, Python. Experience with BI tools like QuickSight, Tableau, Power BI, or Looker for dashboard creation and data visualisation. Demonstrable commercial or entrepreneurial acumen. Driven and More ❯
