1 to 25 of 1,664 Remote SQL Jobs in England

management software (Jira). • Experience creating BI models and dashboards, ideally in Power BI. • Excellent verbal and written communication skills Technical Skills: • Familiarity with SQL Server. • Advanced SQL scripting. • Familiarity with ETL/ELT tools and experience navigating data pipelines. • Experience using scripting languages (e.g. Python, PowerShell etc.) to extract … processes (e.g SSIS, Data Factory, Alteryx) • Power BI Development including the data model, DAX, and visualizations. • Relational and Dimensional (Kimball) data modelling • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake) • Experience working in a regulated environment and knowledge … of the risk and compliance requirements associated with this. • Oracle Database • MongoDB • Cloud Data Technologies (Mainly Azure - SQL Database, Data Lake, HD Insight, Data Factory etc.) • A collaborative team player, approachable, self-efficient and influences a positive work environment • Demonstrates curiosity • Resilient in a challenging, fast-paced environment • Excels at More ❯

Senior SQL DBA - Fully Remote Are you a seasoned SQL DBA with a passion for managing complex databases? A leading Managed Service Provider (MSP), with a head office in York, is looking for a Senior SQL & Oracle DBA to join their fully remote team. Role Overview: SQL Server Administration: Manage … SQL Server databases, including patching, upgrades, and performance tuning. Oracle Support: Provide mid-level support for Oracle environments, handling backups, monitoring, and tuning. Database Security: Implement security protocols and ensure compliance in both SQL Server and Oracle databases. Monitoring & Troubleshooting: Proactively monitor and resolve database issues using tools like SSMS … and Oracle Enterprise Manager. Disaster Recovery: Design and implement high-availability and disaster recovery strategies for SQL Server. Ideal Candidate: SQL Server Expertise: Extensive experience with SQL Server (2012-2019+), HA solutions, and performance tuning. Oracle Skills: Solid experience in Oracle Database administration, including RMAN and performance tuning. Automation More ❯

developers and data analysts. Working with cutting-edge tools such as Azure Analysis Services, MS Power BI, MS Azure products, Azure Data Factory, MS SQL, SQL Server, and other innovative data management solutions, you will help set and evolve standards, processes, and performance metrics that maintain our business data integrity. … you to explore this exciting opportunity with Southern Housing and be a key contributor to our data-driven mission. What youll need Proficiency in SQL and other programming languages (e.g., Python, Java). Strong understanding of data quality principles, data systems, and database design. Experience with ETL tools and data … data sets. Good communication and interpersonal skills. Understanding of tools like Azure Analysis Services, MS Power BI, MS Azure products, Azure Data Factory, MS SQL, Data management tools, data lake tools, SQL Server Closing date: Sunday 4 th May 2025 at 23.59pm. About us At Southern Housing, our residents are More ❯

ensure successful adoption of reporting. Requirements Proven experience with PowerBI and data visualisation. Ideally 5 years plus. Strong knowledge of data warehousing principles. Strong SQL expertise, understanding of ETL, DAX, Power Query. Ability to maintain and enhance semantic models. Knowledge of dimensional data modeling (Kimball), Data warehousing concepts, OLAP. Excellent More ❯

competitions etc. Experience of triage, RCA and fix for software issues within a distributed system. Competence in multiple programming languages. Experience of database development (SQL and NoSQL). Experience with design patterns, refactoring, OO design and related areas. Experience developing with the Micronaut framework. Strong analytical, problem-solving and organizational More ❯

DevOps practices (Azure/Git). Experience in 3rd-party APIs and SDKs integration, REAT API, evets, webhooks, messaging. MySQL database design and management (SQL, NoSQL). Understanding of Agile methodology, related practices, and work breakdown, refinement, and estimation. Leadership Skills: Proven ability to lead and mentor a team, manage More ❯

data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions More ❯

but also driven, collaborative, and solutions-focused. Experience & Knowledge: Proven experience building solutions with Power BI, Power Apps, and Power Automate Strong data modelling, SQL, and data warehousing knowledge Familiarity with Microsoft 365 and Azure environments Microsoft Power Platform certifications (or working towards them) Understanding of JavaScript, HTML, CSS (for More ❯

with Python, preferably PySpark. Excellent communication and stakeholder management abilities. Strong expertise in Azure (AWS considered for a strong candidate): ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, DevOps. Hands-on experience with ETL/ELT processes and data warehousing. Solid understanding of data More ❯

Essential skills we would love you to have: Strong analytical experience in the use of MS Office Applications (Excel and Powerpoint), Programming Languages (Python, SQL, R) and Visualisation Tooks (such as Tableau and Power BI) Excellent communication skills with the ability to interpret complex data and translate this to business More ❯

Looking For: Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial More ❯

Qualifications Bachelor's degree in computer science, engineering or related field. Minimum of 3 years of experience in data engineering roles. Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3 More ❯

machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven More ❯

Systems, or other equivalent. Experienced in data analysis, BI, or a related area. Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying. Proficiency in Microsoft Excel for data manipulation and reporting. Solid ability to analyse and interpret data, with keen attention to detail. Basic More ❯

Bank of England. About the Role: You will be an experienced hands-on Software Developer with a strong track record in Python, C# and SQL development, with at least 5+ years in Trading Systems/Financial/Banking sector. You will be a passionate advocate of the Agile methodology, looking More ❯

best practices and emerging tools. YOU The ideal Data Analyst for Business Intelligence and Insights will have prior experience of: Strong technical skills in SQL, Excel, Power BI, DAX, and ideally Python or R. Experience with cloud data platforms such as Snowflake or Databricks. Deep understanding of databases , ETL frameworks More ❯

of the organisation's history and growth plans involves business acquisition which brings challenges in data centralisation. What will you need to succeed? Strong SQL skills (with a few years of applied experience). Experience with at least one BI/visualisation tool (e.g. Looker/Power BI/Tableau More ❯

experience in Data QA or a similar role with a strong focus on quality assurance of data and machine learning models. Strong experience with SQL and programming languages like Python or R for data analysis and pipeline development. Deep understanding of data modelling, data access, and data storage techniques. Familiarity More ❯

of AI-driven strategies across BIC operations. Identify opportunities for AI integration to enhance BIC research processes. Use advanced analytics tools (e.g., Python, R, SQL, Tableau, Power BI) to analyse, visualize, and interpret data. Support efforts to continuously innovate and improve analytical processes using ML, ensuring the delivery of high More ❯

ABOUT YOU Minimum of 4-5 years within a Finance/Data Analytics role Fully qualified CIMA/ACCA/ACA Highly proficient in SQL (preferably PostgreSQL) Strong Power BI experience Proven experience in data modeling and building analytical tools from scratch. A natural curiosity to learn and a 'can More ❯

years of data engineering experience, with a proven track record of designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache More ❯

including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured More ❯

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 ❯