401 to 425 of 6,988 Permanent SQL Jobs

design, deployment, and adoption of the Starburst data analytics platform for the organization's first implementation. This role requires deep technical experience in distributed SQL engines, data lakes, along with the ability to guide stakeholders through platform onboarding and production readiness. Creation of unified, real-time views of data from … analytics platforms, or distributed systemsHands-on experience with Starburst, Trino, or PrestoStrong background in cloud engineering (AWS/Azure/GCP) and KubernetesProficiency in SQL, data lakes, object storage, and distributed query optimisationGood understanding of data security, governance, and access controlsPreferred: Prior experience leading first-time platform implementationsExperience migrating ...

Stockport, Greater Manchester (Hybrid: 1 to 2 days per week in office) Salary: Up to £40,000 Are you a data professional with strong SQL and Power BI skills looking to take the next step into modern analytics and Microsoft Fabric? We are partnering with an established, innovation-focused software … environment that actively embraces modern, AI-assisted development tools. Previous Microsoft Fabric experience is not a must, if you bring solid foundations in SQL and Power BI, the team will provide a dedicated, comprehensive training across Fabric, Azure, and modern cloud data practices. What You'll Be Doing Maintain & Enhance ...

purpose of this role is to deliver new, and implement changes to existing data solutions, data extraction and transform (ETL), using the full Microsoft SQL stack, for identified and agreed business requirements. In addition, the Senior Data Engineer will be responsible for translating business requirements into Azure Cloud-based … Data Factory, Azure Data Bricks and Azure Synapse Analytics. Your responsibilities will include... Leading the design, development, delivery and maintenance of technical on-premises SQL and Azure Cloud data engineering solutions, ensuring alignment with business priorities and best practice Implementing robust ETL/ELT pipelines using Azure Data Factory, Synapse ...

data management, ETL, data aggregation and dynamic reporting Hands-on technical experience mining and analyzing structured data with a strong working knowledge of Microsoft SQL Server, including advanced experience with SQL query building Proven experience managing client expectations and providing relevant solutions through the project life cycle Experience in creating … project estimates, project plans, proposals and retention agreements Bachelor’s degree; post-graduate degree or equivalent qualifications a plus Advanced experience working with Microsoft SQL Server, SAP, Oracle and/or other database applications Familiarity with software and tools such as SQL, Tableau, Python, SAS, ACL, VBA, Power ...

summary As an experiencedinformationanalyst, you will have in-depth knowledge and practical experience of using SQL and SQL Server Reporting Services (SSRS)andPower BI. You will have knowledge and practical experience of reporting techniques and presentations and havepreviousexperience of working in an information management environment. The post holderwill need … structured manner Ability to test statistical methodology and techniques when analysing complex data and make appropriate recommendations Advanced software skills particularly in SQL programming, Microsoft Office Excel and Access Appreciation of data protection, patient confidentiality and IT security issues Ability to set up clinical and non clinical information systems ...

useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques. The Data Scientist shall perform ...

Data Engineer, Analytics Engineer, or Data Analyst in a data-driven environment; Staff level typically requires 10+ years or equivalent scope and impact; Strong SQL skills, including complex joins, window functions, aggregation, and query optimization; Experience with a major data warehouse or big data technology such as BigQuery, Snowflake, Redshift ...

Microsoft Excel and other Office applications Experience in reporting on portfolio exposures to stakeholders as well as some familiarity to Catastrophe Models. Strong SQL skills and experience with relational databases (e.g. Postgres, Snowflake, MS SQL) and visualisation tools (Tableau, PowerBI, Metabase) Familiarity with another programming language such as VBA, .NET ...

with industry-standard forensic applications and tools such as EnCase, FTK, Nuix, Relativity, Reveal, Cellebrite, Magnet Axiom and Magnet Verakey. Experience with databases, particularly SQL programming and design of relational databases. Exposure to programming, e.g., industry experience or a significant implementation project at university. Strong independent analytical and problem-solving … enhance investigation processes. Exposure to archiving, logging, and digital vault systems, e.g., Mimecast. Data visualisation experience, for example PowerBI. Scripting language experience, particularly SQL and Python. Exposure to Object Oriented programming, particularly C#, C++ or Java. What we offer you At EY,we’ll develop you with future-focusedskills ...

policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures ...

commercial finance, or sales operations analytics or related fields. Preferred, but not essential. Technical ability: Proficiency in Power BI (DAX, Power Query) and strong SQL skills or related querying language. Experience with financial planning systems or ERPs is a major plus. Preferred, but not essential. Analytical Mindset: Exceptional ability ...

literacy, conversant with Microsoft Office 365 applications, Excel (VBA is a plus). Knowledge of data, databases and statistical systems a plus; Knowledge of SQL with the ability to query, extract, manipulate, and validate data from large datasets is desirable and knowledge of reporting tools such as Tableau, Power ...

integrating Salesforce Marketing Cloud, CDP, and Single Customer View (SCV) data you understand the nuances of customer and marketing data at scale. Expert-level SQL and proven experience building robust transformation pipelines with dbt. Solid experience orchestrating workflows with Apache Airflow in production environments. Comfortable working across cloud platforms ...

DataOps, and MLOps, will be advantageousWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureExperience with Generative ...

data quality programs, or analytics transformation Strong technical proficiency in data profiling, analysis, and data management using modern tools and environments, including Python, R, SQL, Spark, and cloud platforms Experience with data quality frameworks, including profiling, rule development, issue remediation, and the design of preventative controls Ability to translate complex ...

leadership teams to gather requirements, challenge assumptions, translate business questions into technical BI solutions, and present actionable insights clearly. Data Management & Optimisation: Utilise strong SQL skills for data manipulation, querying, and validation while implementing robust ETL/ELT processes and troubleshooting performance bottlenecks across datasets. Champion Data Governance: Ensure high … Fabric Platform Expertise (Essential): Demonstrable hands-on experience in the operation, management, or usage of Microsoft Fabric to deliver data solutions. Advanced Power BI & SQL Skills: Expertise in DAX, Power Query, semantic modelling, report performance tuning, and writing complex SQL queries for data validation. Strong Stakeholder & Communication Skills: Confident ...

actionable insights to stakeholders* Collaborate with cross-functional teams to understand business requirements* Perform data validation and ensure data accuracy and consistency* Write complex SQL queries to extract and manipulate data* Automate data processes and improve reporting efficiency* Support business decisions with data-driven recommendations**Required Skills:*** Strong knowledge … SQL and database management* Proficiency in Excel (advanced formulas, pivot tables)* Experience with data visualization tools (Power BI/Tableau)* Basic knowledge of Python or R for data analysis* Understanding of statistics and data modeling concepts* Strong analytical and problem-solving skills* Excellent communication and presentation skills #J-18808-Ljbffr ...

role We are looking for a hands-on Senior Data Architect who is equally comfortable designing the target state for a multi-system SQL data estate, writing and tuning the T-SQL that delivers it, and standing up the security, monitoring and operational practices that keep it running. You will … warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting estate from SSRS to Power BI. You will set the technical direction for the data team ...

self-service analytics for partners through well-designed reporting tools. Data Management & Tooling Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search … Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience) Significant experience in data analysis, business intelligence, or analytics roles Proficiency in SQL and Python for large-scale data analysis Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn) Experience working with ...

equivalent Experience working with cloud‐based data platforms (e.g. Azure Data Lake, Databricks) Familiarity with data cataloguing and lineage tools (e.g. Microsoft Purview) Strong SQL skills and experience with relational and dimensional modelling The ability to translate complex business concepts into clear data structures Experience working in agile delivery environments … business stakeholders and demonstrating ability to influence and build relationships across technical teams, architects, Product Owners and business stakeholders. Hands‐on Databricks experience, including SQL/Python Strong communication skills and experience working with technical and business stakeholders. Understanding of data quality, classification, privacy and governance principles, with the ability ...

Engineering teams to build pipelines that are easier to test, release, monitor and maintain. The role is hands‐on, with a focus on Python, SQL, automation, good engineering practice and controlled delivery in a regulated environment. You’ll own defined MLOps components and pipelines, while working with senior colleagues … modern data and machine learning environment. The role is likely to involve: Python, including libraries such as Pandas, NumPy and scikit‐learn. SQL and large structured datasets. Cloud data platforms such as Snowflake, Databricks or similar. Git‐based version control and code review. CI/CD and automated testing using ...

Proven experience designing canonical data models or enterprise logical data models. Strong understanding of data modelling techniques, including conceptual, logical and physical modelling. Strong SQL skills and ability to interrogate complex relational data structures. Experience working with cloud data platforms, ideally AWS and Databricks. Understanding of modern data architecture, data … platforms. Experience with regulatory, client or operational reporting. Experience supporting data migration, legacy system modernisation or platform replacement. Experience with Databricks, Delta Lake, Spark SQL or PySpark. Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines. Experience working in consultancy or client-facing delivery environments. Behaviours ...

multi-tenant environments Proven expertise in PowerShell, PnP, Python, JavaScript, C#, JSON, Power Query (DAX), REST APIs, and GraphQL Experience with Microsoft Dataverse, Microsoft SQL, MySQL, and AI-driven data analytics Strong understanding of AI governance, compliance, and responsible AI practices Excellent communication, leadership, and client engagement skills Advanced expertise … Industry Keywords Data Protection Risk Management Compliance AI-Driven Workflows Cross-Tenant Migration Tools & Technologies Microsoft 365 Copilot Azure DevOps Microsoft SQL MySQL #J-18808-Ljbffr ...

Enable self-service analytics for partners through well-designed reporting tools. Data Management & ToolingWork with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems).Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search systems. … Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)Significant experience in data analysis, business intelligence, or analytics rolesProficiency in SQL and Python for large-scale data analysisAdvanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn)Experience working with Databricks ...

innovative data-driven solutions that improve compliance, safety and business performance Skills Proven commercial experience in Data Science and Machine Learning Strong Python and SQL skills Experience with machine learning frameworks such as TensorFlow, PyTorch and Jupyter Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with ...