76 to 100 of 262 SQL Jobs in Berkshire

strategic planning through data-led insights Translate technical outputs into clear commercial recommendations YOUR SKILLS AND EXPERIENCE 3–5 years’ experience in analytics or commercial data roles Proficient in SQL and Power BI (Python or DOMO experience desirable) Confident operating in smaller data teams and owning analytics delivery Strong commercial mindset and stakeholder management skills BENEFITS Salary up to More ❯

home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test More ❯

home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test More ❯

collaborative environment. Experience: Minimum 3 years experience as a software engineer. Front-end experience with React, MUI, AG-Grid, and ECharts. Advanced proficiency in C and Python (required). SQL expertise preferred. Strong communication, organizational skills, and ability to multitask. Ability to work independently and collaboratively with a global team. Prior buyside experience is essential. Compensation: Salary and benefits are More ❯

on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm ), Mage OR Airflow. BI/visualisation experience (any modern tool). STEM university degree. Comfortable in a fast-paced, hands-on More ❯

and driving better decisions. What We’re Looking For 8+ years of experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . More ❯

hands-on data engineer Worked you way into a lead data role and then into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design More ❯

for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent More ❯

trade data processing and integration issues Collaborate with QA, support, and business stakeholders Requirements 5+ years of professional Java experience Strong CS fundamentals and problem-solving ability Proficient with SQL and generic scripting Proficient with Linux server environments Background in CI/CD, infrastructure automation, and monitoring Experience working with large, interconnected systems and debugging across components Proven ability to More ❯

Deep hands-on experience across BI, IT, and operational functions High attention to detail and a passion for driving innovation Strong project and vendor management skills Advanced knowledge of SQL, BI platforms, and data architecture Bonus Points For: Bachelors degree in Computer Science, Information Systems, or related field Experience in international, complex business environments Familiarity with cloud transformation and agile More ❯

driven tools to streamline operations and M&A integration processes Monitor, ensure reliability, and scale integrations and pipelines Document and modularize infrastructure for future AI engineers ✅ Must-Haves: Python & SQL experience Data engineering skills : pipeline design, data modeling, schema development Experience with API integrations, webhooks , and low/no-code automation tools (Zapier, Make, Matillion) Comfortable in AWS or Azure More ❯

wider transparency and engagement initiatives across the organisation. About You Strong analytical and data science background with experience managing large datasets. Proficiency in analytical tools such as Python, R, SQL, or Power BI. Excellent communication skills - able to explain complex data in a simple, impactful way. Experience collaborating across technical and operational teams. Knowledge of the UK energy market, system More ❯

years of professional development experience, including: Strong PHP (Laravel/Symfony or similar) background. Solid Node.js/TypeScript experience. React (hooks, state management, testing frameworks). Skills: Proficient in SQL (MariaDB/Postgres), REST APIs, Git, CI/CD workflows. Mindset: Startup-ready, pragmatic, problem-solver with a "get things done" attitude. Preferred BackgroundExposure to property, fintech, or marketplace platforms. More ❯

JavaScript frameworks such as React, Redux , Vue, Backbone, or Angular. Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in object-oriented programming , data structures , algorithms and web application development . More ❯

sessions, ensuring continuous refinement and effective sprint execution. What We’re Looking For: Expertise in Python, particularly building multithreaded applications with Flask, and experience in integrating with relational databases (SQL). Comfortable developing in Linux-based environments. Familiarity with modern APIs and protocols like REST, HTTP, and JSON, as well as containerization tools such as Docker. Effective communicator, capable of More ❯

Skills & Experience Experience supporting Power Platform (Power Apps, Power Automate, Power BI) Exposure to Microsoft Dynamics 365 is a strong plus Strong troubleshooting and customer service skills Knowledge of SQL and databases is advantageous Familiar with ticketing and CRM systems Excellent written and verbal communication skills Self-motivated, team-oriented and eager to learn ?? Location & Working Style Remote - UK Onboarding More ❯

or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and More ❯

enterprise software. Essential: Strong experience with Python and proficiency in FastAPI or Django Proven experience building secure, enterprise-grade, public-facing software in an agile delivery environment Familiarity with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience More ❯

and future requirements. Must-Have Qualifications: Proven experience in a Business Intelligence Analyst/Data Analyst or similar role, with a focus on customer retention or lifecycle analysis. Advanced SQL skills, including the ability to write complex queries combining data from multiple tables. Proficiency in business reporting tools such as Tableau and Qlik. Experience working with and building data pipelines. More ❯

in line with security standards Qualifications ✔ Experience in a data, operations, or analytics-focused role ✔ Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL ✔ Strong communication skills and a collaborative, solutions-focused mindset ✔ An organised, proactive approach—comfortable working across teams and timelines ✔ Excitement for new technology, data storytelling, and digital marketing innovation ✔ A More ❯

data products. Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

low as 142 per month. Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies More ❯

Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP More ❯

growth and optimisation of the enterprise data infrastructure Required Experience: Insurance industry experience is essential 5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data profiling, cleansing, and validation Excellent communication and organisational skills What’s on Offer: Competitive salary Hybrid working (a few More ❯