and operating robust data pipelines. The ideal candidate will have experience in working with Azure Cloud and proficiency in using Microsoft Azure Data Services and platforms such as Azure SQL, Data Warehouse, Data Factory, Data Lakes, HDInsight, and Stream Analytics. Core Azure SQL, MSSQL server. They will also have understanding of the underlying data flow architectures, will have supported finance … accurate financial status reporting Skills and Attributes for Success To qualify for the role, you must have: Experience in one or more of the following Cloud Platforms: Core Azure SQL and MSSQL server Deep understanding of Azure-native services for data engineering. Experience with Azure Key Vault, Azure Monitor, and RBAC. AWS: Experience with S3, Glue, Redshift, and Lambda. Familiarity … AI (optional). Experience in one or more of the following Data Platforms: Microsoft: Experience with Azure Data Factory for orchestrating data workflows. Proficiency in Azure Synapse Analytics and SQL Server. Familiarity with Azure Data Lake Storage (Gen2) and Azure Blob Storage. Knowledge of Power BI integration and data modelling Understanding of Azure Functions and Logic Apps for automation. Snowflake More ❯
are seeking an experienced Senior Data Analyst with a strong background in the multifamily real estate business and mortgage domain. The ideal candidate will possess advanced technical skills in SQL, RDBMS databases, MongoDB, NoSQL, Informatica Cloud (including Informatica Data Quality), and all standard data analyst tools and methodologies. You will play a key role in analyzing complex datasets, monitoring and … for our multifamily and mortgage business units. Responsibilities: Analyze large, complex datasets related to multifamily properties and mortgage portfolios to identify trends, risks, and opportunities. Develop, maintain, and optimize SQL queries and scripts for data extraction, transformation, and reporting. Design and implement data models and pipelines using RDBMS (e.g., MySQL, PostgreSQL, SQL Server), MongoDB, and other NoSQL databases. Utilize Informatica … Data Analyst, with at least 2 years in the multifamily real estate or mortgage industry. Deep understanding of multifamily business operations, property management, and mortgage processes. Advanced proficiency in SQL and experience working with RDBMS databases (MySQL, PostgreSQL, SQL Server, etc.). Hands-on experience with MongoDB and other NoSQL databases. Proven experience with Informatica Cloud, including strong knowledge of More ❯
leadership capacity. Proven experience building or refactoring data platforms in cloud or hybrid environments (e.g., AWS, Azure). Strong experience with modern data stack tools . Deep understanding of SQL, data warehousing, data modeling, schema development , and API integration. Experience working with manufacturing OT systems a plus Familiarity with DevOps practices, CI/CD for data, infrastructure-as-code, and More ❯
in Computer Science, Information Technology, or a related technical field 2+ years of professional experience in data warehousing, ETL/ELT development, and data modeling Expert-level proficiency in SQL, including writing complex queries, stored procedures, and performing query optimization Strong experience with a modern data warehouse platform such as e.g., Snowflake, Amazon Redshift, Google BigQuery Demonstrated expertise in ETL More ❯
Technology, Engineering, Mathematics, or a related field. Proven experience in data engineering, database development, or a related field. Intermediate to Advanced in Microsoft Excel and Power BI. Proficiency in SQL and experience with relational database management systems (e.g., PostgreSQL, MySQL, Microsoft SQL Server, Oracle, SQLite). Awareness of cloud data analytics platforms (e.g. Microsoft Fabric, Google Cloud Platform, Databricks etc. More ❯
Guildford, Surrey, United Kingdom Hybrid/Remote Options
Sussex Police
support the build of dashboards based on Microsoft Power BI. Developing R or Python scripts to produce predictive models for use within PowerBI or reporting. Maintenance of Power BI, SQL and related reporting systems, helping to ensure a useful and reliable reporting function for the business. Developing data pipelines from Microsoft Fabric and integration products to exploit and maximise a … BI/Microsoft Analytics solutions, with a good grounding in all associated areas including; development , Enterprise Architecture, Governance, Rollout and Adoption Knowledge or experience ofData Factory, Data Lake, Azure SQL database, Azure SQL Data warehouse, Azure Analysis Services, R Studio, Python, Power Apps or Microsoft Fabric. Considerable technical knowledge or experience in any of the following: Power BI Report Server … or Cloud based Service, or similar visualisation experience. Database including MS-SQL, Oracle Database, Data warehousing, SQL and XML. Microsoft Fabric experience R or Python predictive modelling/classification Experience in building dashboards, reports and cubes using SQL, MDX, DAX, Power Query M Code, Power BI or other visualisation tools. Detailed understanding or experience of how to develop cloud-based More ❯
to ingest and transform data from multiple sources into data warehouses and lakes. • Design, implement, and optimize data models and storage layers for performance, scalability, and quality. • Develop complex SQL queries and Python scripts to support transformation and automation workflows. • Collaborate with internal stakeholders to scale and enhance the performance of our existing proprietary algorithms and related models. • Partner with … data engineering, with hands-on experience building and maintaining modern data pipelines. • Bachelor's degree preferably in Computer Science, Engineering, Information Systems, or a related quantitative field. • Expert-level SQL skills with demonstrated experience writing complex queries, optimizing performance, and working across large-scale relational and cloud data environments. • Strong programming skills in at least one modern language (e.g., Python … Scala, or Java). • Experience with both relational and non-relational databases (e.g., PostgreSQL, SQL Server, DynamoDB). • Experience with cloud data platforms such as AWS (S3, Redshift, Glue), Azure, Snowflake, or Databricks. • Familiarity with big data tools (e.g., Spark, Kafka, Hadoop). • Version control experience (e.g., Git). • Strong communication skills and the ability to translate technical concepts to More ❯
engagements end-to-end with resources in multiple locations. Hands-on experience with big data application development and/or with cloud data warehousing (e.g., Spark, Redshift, Snowflake, Azure SQL DW, Big Query) Hands on experience with BI solutions (e.g., PowerBI, Looker, Tableau, or other format for reporting) Experience implementing a variety of data warehousing concepts, methodologies, & best practices (e.g. … Incremental, SCD, Star Schema, etc.) Proficient in a relevant programming language for cloud platform e.g., Python/Java/C#/Unix as well as SQL Working experience with version control platforms e.g., Git Strong communication skills and a working knowledge of agile development, including DevOps concepts. What Can We Offer You? CG Infinity, Inc. offers an exceptionally strong benefits More ❯
Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Data/Statistical analysis experience (e.g. R or SPSS) Programming experience beyond simple 'selects' (e.g. SQL, Python, Java) Excellent communication and presentation skills for client-facing interactions High attention to detail and good organisational skills Strong analytical skills able to understand processes, gather and shape requirements … Analyst) Experience of financial reporting, FP&A and Excel modelling Knowledge of data model design principles and ETL Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Knowledge of non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) Performance optimisation (Partitioning, Understanding of columnar … database concept, SQL indexing) Troubleshooting (SQL Profiler or other profiler tools, Tabular Editor, DAX Studio, Power BI datasets, RLS security) Additional Information All your information will be kept confidential according to EEO guidelines. ** At this time insightsoftware is not able to offer sponsorship to candidates who are not eligible to work in the country where the position is located . More ❯
years of IT experience, with10+ years in data analytics and BI development.5+ years of hands-on experience with Power BI, including DAX, Power Query, and Data Modeling.Strong expertise in SQL, data warehousing concepts, and ETL pipelines.Proven experience withAzure Data Services (Data Factory, Synapse, Data LakeExcellent understanding ofdata visualization principles and storytelling with data.Strong analytical, problem-solving, and communication skills.Bachelors or More ❯
impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server More ❯
Havant, England, United Kingdom Hybrid/Remote Options
FatFace
as a mentor to Engineers. You’ll be accountable for developing and optimising our Azure-based data warehouse and pipelines, with a specific focus on enhancing and optimising SSAS (SQL Server Analysis Services) models and architecture. You will lead ETL processes, ensure high data quality, and enable robust, scalable data solutions. You will facilitate data from multiple custom internal and … impact at all times. Skills and Experience 2.1 or higher degree in Computer Science, or related Information Technology subject. 3+ years experience working with cloud infrastructure and data modelling (SQL database, data warehouse, SQL servers, datalake storage and lakehouses, structured and unstructured data) Significant experience working with Azure Data Factory and LogicApps creating pipelines ingesting data from multiple sources Advanced … T-SQL skills and Python essential Experience of Azure cloud stack services – Dynamics D365, Databases, Warehouses, Storage, Datalake, Power Automate, Data Factory, Visual Studio, Devops, Power BI, MS Fabric Strong interest in analytics, data architecture and modelling. Experience of enterprise software, Azure Cloud apps, databases, data models. Understanding of Business Intelligence services and data integration processes (ETL) Knowledge of Power More ❯
we need you to have. These include:Must haves Proven track record as a developer in an insurance or financial services environment; Strong working knowledge of programming languages (e.g. SQL, C#, VBA, Javascript, XML, JSON, Python); Experience building Excel-integrated applications and/or web-based pricing platforms. Strong database skills (SQL Server or similar) and data integration experience; Proactive … patterns and able to implement where appropriate; Working knowledge of software delivery and development process; Strong comprehension of working with large data sets and being able to write complex SQL queries; Have qualifications in an insurance or reinsurance environment working with catastrophe and/or actuarial models; Previous Lloyd's and PRA experience; Knowledge of DevOps practice - Desirable Skills Experience More ❯
Birmingham, West Midlands, England, United Kingdom Hybrid/Remote Options
Isio
engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including SQL queries and stored procedures, and formal database design methodologies Experience in setting up monitoring and data quality exception handling Strong data modelling experience Experience managing and developing More ❯
data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks … the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products Expert problem-solving skills More ❯
Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Billigence
Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯
Masters preferred1015 years of experience in ETL development and data warehousing.Strong proficiency in one or more ETL tools such as Informatica PowerCenter, Talend, SSIS, DataStage, or Azure Data Factory.Advanced SQL and PL/SQL skills with strong database experience (Oracle, SQL Server, Snowflake, or similarHands-on experience with data modeling, data integration, and data quality frameworks.Familiarity with cloud platforms (AWS More ❯
for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯
for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯
and operate ELT/ETL pipelines using Microsoft based tools (Data Factory, Fabric). Maintain a medallion architecture (Bronze–Gold) for trusted, refined datasets. Develop, optimize, and maintain complex SQL queries to support analytics and reporting requirements. Implement data quality, testing and observability; ensure lineage, accuracy and compliance. Enable self-serve analytics through well-documented models and transformation logic. Integrate … purpose data solutions. Proactively identify opportunities for continuous improvement. What you can already do Minimum 3 years’ experience in data engineering, data analytics, and BI. Proficiency in Python and SQL languages. Experience in delivering technology projects within a fast-paced business, medium sized organisations. Deliver solutions within the appropriate framework and methodology whilst ensuring the supportability of services delivered. Experience … control systems (Git, GitHub) and CI/CD best practices Excellent understanding of Power BI Service and Fabric Strong grasp of data modelling and warehousing concepts such as MS SQL Server, Oracle and Snowflake. Knowledge of Infrastructure-as-Code (e.g., Terraform), identity and secrets management (IAM), and cloud cost optimization at scale Knowledge of information principles, processes, and Master Data More ❯
and operate ELT/ETL pipelines using Microsoft based tools (Data Factory, Fabric). Maintain a medallion architecture (Bronze–Gold) for trusted, refined datasets. Develop, optimize, and maintain complex SQL queries to support analytics and reporting requirements. Implement data quality, testing and observability; ensure lineage, accuracy and compliance. Enable self-serve analytics through well-documented models and transformation logic. Integrate … purpose data solutions. Proactively identify opportunities for continuous improvement. What you can already do Minimum 3 years’ experience in data engineering, data analytics, and BI. Proficiency in Python and SQL languages. Experience in delivering technology projects within a fast-paced business, medium sized organisations. Deliver solutions within the appropriate framework and methodology whilst ensuring the supportability of services delivered. Experience … control systems (Git, GitHub) and CI/CD best practices Excellent understanding of Power BI Service and Fabric Strong grasp of data modelling and warehousing concepts such as MS SQL Server, Oracle and Snowflake. Knowledge of Infrastructure-as-Code (e.g., Terraform), identity and secrets management (IAM), and cloud cost optimization at scale Knowledge of information principles, processes, and Master Data More ❯
team Identify opportunities to improve data quality, reliability, automation, and reuse throughout the data lifecycle Experience and Skills Required: Strong hands on experience with Azure Data Factory and Azure SQL Proven expertise in Power BI, including creating intuitive and user centred visualisations Awareness or experience of Microsoft Fabric technologies Solid understanding of data warehouse design principles, including Kimball or Inmon More ❯
