51 to 75 of 262 SQL Jobs in Berkshire

are looking for: Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications More ❯

Quality Software Engineer Location: London, United Kingdom Permanent Role, requires hybrid working in London What You’ll Do: Develop and maintain Python-based test frameworks (multithreaded apps, Flask APIs, SQL integration). Build automation into our CI/CD pipelines (GitHub, Jenkins, Docker) to validate new features continuously. Execute large-scale test and benchmarking campaigns, collecting metrics to evaluate performance More ❯

product features. Provide clear insights that influence product, marketing, and leadership decisions. Ideal Candidate 8+ years' experience in data analytics, ideally in consumer apps or online platforms. Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI). Experience working with subscription, engagement, or conversion funnel data. Strong communicator, able to present complex findings in simple, actionable ways. Find More ❯

in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as hadoop, spark, or kafka is a plus. 5. Familiarity with scripting languages like python, java, or shell More ❯

supporting decision-making across finance, marketing, and operations. We’re looking for someone who: ⚙️ Has 1-4 years’ experience in data science or analytics 🐍 Is confident using Python and SQL 📊 Can visualise data in Power BI or Tableau 💡 Communicates complex insights clearly to non-technical teams 🔥 Brings curiosity, creativity, and a genuine passion for sport Benefits 🏡 Hybrid Working: London HQ More ❯

pipelines and models for analytics and reporting. Applying best practices in data architecture, security, and performance. Working with modern tools including Azure, Databricks, Python, Azure DevOps, Unity Catalog, and SQL . Supporting data governance through cataloguing, lineage, and compliance frameworks. Mentoring junior engineers and contributing to the team’s technical roadmap. What You’ll Bring Proven experience building and optimising More ❯

infrastructure design and cross-functional collaboration. YOUR SKILLS AND EXPERIENCE Proven experience leading data strategy and platform development within a complex, multi-stakeholder environment. Strong technical grounding across: GCP SQL and Python Power BI or Omni DBT and Docker (preferred) Excellent stakeholder management and communication skills. Experience with web and app event tracking, and delivering predictive analytics projects. Leadership background More ❯

QA Company: Consultancy - Financial Location: London Hybrid (often 3 days a week in office) Salary: £50,000-£65,000 + benefits Tech essentials : Backend (C#/Java/Python) SQL, Specflow/BDD Nice to have: CI/CD pipes, GitHub Actions, YAML, Powershell Interview process: 1 stage remote video interview Why should you be interested in this opportunity? They More ❯

with in Trading & Risk Management systems ) Experience communicating to customers as well as to sr. software engineers Experience with Python, PostgresSQL and Unix Experience with writing intermediate to advanced SQL queries for data extraction and troubleshooting purposes. Experience with using and troubleshooting programming interfaces especially REST APIs and Web Sockets. Experience with monitoring tools (Grafana, DataDog) Experience working with Crypto More ❯

agile environment, participating in sprint planning, code reviews, and team knowledge-sharing sessions. Tech Stack ->TypeScript ->Next.js ->Node.js ->GCP ->AWS (ML) ->CI/CD with GitHub actions and workflows ->SQL (PostgreSQL, MySQL) ->NoSQL (MongoDB, Firestore, Redis) ->RESTful APIs - GraphQL Requirements for Tech For Good (Audio Intelligence) | Innovative Products | Mid-Level (Back End Leaning) Full Stack Engineer | TypeScript/Next.js/ More ❯

up fast Proven experience leading analytics teams and delivering commercial value from data A confident communicator who enjoys presenting to both technical and non-technical stakeholders Strong technical toolkit: SQL and Excel required; Python a plus Comfortable in a fast-paced environment with a blend of strategy, hands-on analytics, and client engagement Background in consulting or financial services is More ❯

You are experienced in event-driven architectures and messaging platforms such as Kafka. You have strong understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of SQL and NoSQL databases. You are experienced in CI/CD pipelines, automated testing, and modern deployment practices. You are a skilled mentor with the ability to influence technical direction across More ❯

the following areas: Linux System Administration (Ubuntu) Monitoring (Prometheus/Nagios/Icinga). Cloud Platforms - deploying and automation (AWS/GCP) Networking (LB/Routing/Switching) Databases - (SQL/NoSQL). Cassandra knowledge would be great to have Scripting/System-Programming - (Python/Bash/Go/Java) Configuration management - (Ansible/Terraform) CI/CD (Jenkins More ❯

the following areas: Linux System Administration (Ubuntu) Monitoring (Prometheus/Nagios/Icinga). Cloud Platforms - deploying and automation (AWS/GCP) Networking (LB/Routing/Switching) Databases - (SQL/NoSQL). Cassandra knowledge would be great to have Scripting/System-Programming - (Python/Bash/Go/Java) Configuration management - (Ansible/Terraform) CI/CD (Jenkins More ❯

the following areas: Linux System Administration (Ubuntu) Monitoring (Prometheus/Nagios/Icinga). Cloud Platforms - deploying and automation (AWS/GCP) Networking (LB/Routing/Switching) Databases - (SQL/NoSQL). Cassandra knowledge would be great to have Scripting/System-Programming - (Python/Bash/Go/Java) Configuration management - (Ansible/Terraform) CI/CD (Jenkins 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 ❯

Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power … BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) 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) Business & Consulting Skills Strong ability to gather requirements and translate them 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 ❯

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 ❯

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 ❯

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 ❯

in deep learning architectures (e.g., attention models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large More ❯

and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D More ❯

programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right to work in the UK More ❯

native tools for supply/demand modelling and market data analysis Collaborate closely with traders and technical teams to deliver impactful solutions What You'll Bring: Strong Python and SQL expertise Experience with AWS and Snowflake Familiarity with Docker/Kubernetes, CI/CD, and Linux Background in trading is highly desirable Ability to communicate effectively with both technical and More ❯