1 to 25 of 140 DemandTrendPermanent SQL Jobs in Slough

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

Liquid Template Experience leading teams and mentoring junior team members Experience using REST APIs (building of REST APIs nice to have) Experience in implementing and using other data stores (SQL/SharePoint/Lists) Experience working with testing strategies and tools for Power Platform solutions Experience working with ALM strategies for the Power Platform Experience with Agile methodologies and working More ❯

ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design Power BI for enterprise-grade reporting and visualisation Strong knowledge of data modelling, SQL, and governance best practices Consulting & Project Delivery Experience 8+ years in professional services or consulting, ideally with Microsoft data technologies Strong background in client-facing delivery and stakeholder engagement Excellent More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯

excellent communication skills with a consultative approach and a strong interest in influencing stakeholders. Tool experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please More ❯

SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or More ❯

with BI tools (e.g., Power BI, Tableau) is an advantage. Excellent written and verbal communication skills. Ability to work collaboratively in a team environment. Preferred Qualifications Basic understanding of SQL or data querying. Previous internship or project experience involving data analysis. Interest in startups and small business operations. Benefits & Perks Paid internship with potential for full-time employment. Mentorship from More ❯

technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or More ❯

doing the work, it’s about helping others understand what the data is saying. WHAT THEY’RE LOOKING FOR: Proven experience in customer, marketing or retail analytics roles Strong SQL skills — confident querying large datasets from cloud data platforms Familiarity with data visualisation tools (e.g. Power BI, Tableau) Experience with customer segmentation, campaign analysis, or store-level performance analytics Strong More ❯

production support experience. This person will be responsible for managing production support environment, stakeholder management. This position is for a senior role and with hands on experience in both SQL, PL SQL and Unix Shell scripting. The ideal candidate will work collaboratively with cross-functional teams, including software engineers, DevOps, and product managers, to deliver high-quality solutions that meet … business needs. Details of Job Description 8+ years of experience in the IT industry Flexible attitude. Technical Proficiency: Strong knowledge and work experience on SQL, PL SQL, Unix commands and Unix Shell Scripting Hands on experience in writing Joins, Queries, Sub Queries Scripting and Automation: Experience with scripting languages (e.g., Python, Go, Bash) for automation and tool development. Familiarity with More ❯

a broad set of stakeholders, and requires the ability to construct well-structured and reasoned narratives. Reasonable fluency in a scripting language (Python or Awk) for data analysis Basic SQL to access and analyse Oracle DB data Basic Unix skills Our systems are complex, need to be self-starting at using multiple resources (people, specifications, Confluence, legacy documents etc.) to More ❯

for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data More ❯

such as VaR and stress testing Knowledge of energy markets (preferably Gas and LNG) TECHNICAL REQUIREMENT Strong proficiency with Microsoft Office products, including Excel, VBA, Power BI, PowerPoint and SQL, other skills Alteryx and Python will be useful, with experience in automating reporting and risk processes. Knowledge of Allegro/FEA/Topez is desirable. PERSON SPECIFICATION Excellent quantitative analytical More ❯

and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a fast-paced consultancy More ❯

online retail business model is a plus. 3、Language: Excellent English listening, speaking, reading and writing skills, usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency in SQL, capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities More ❯

energy trading , commodities , or financial markets . Strong understanding of trading workflows, market data, and risk management. Familiarity with ETRM systems (e.g., Endur, Allegro, Trayport) and analytical tools (e.g., SQL, Python, Power BI). Excellent communication and stakeholder engagement skills. Ability to work independently and deliver value in a contract setting. Desirable Attributes Exposure to LNG, power, or broader commodity More ❯

and improving platform and product performance through experimentation and analytics What We’re Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects More ❯

ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and monitoring tools. Solid database knowledge (SQL & NoSQL) and the judgment to choose the right tool for the job. Strong communication and stakeholder engagement skills; comfortable working through ambiguity and influencing at all levels. A mindset focused More ❯

drawbacks. Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios. Proficiency in Python (for statistical and ML package tools). Proficiency in SQL and working with large-scale databases. Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior colleagues on their application. Essential Qualities: Highly accountable self-starter More ❯

experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

and practices that add measurable value. SKILLS AND EXPERIENCE Required: 5+ years’ leadership experience in BI, analytics, or data science, ideally in high-volume or customer-centric environments. Strong SQL and Power BI (DAX, modelling) skills, with proven hands-on ability. Proven track record of managing and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. More ❯

into technical solutions. Process redesign experience Able to map business processes into process flow diagrams Able to manipulate data in Excel, using intermediate formulae skills Practical experience of PowerBI, SQL query building At least 3 years of experience in Dynamics 365 or AX 2012 Finance and Accounting. Degree in MIS, finance, accounting or business is desirable This is a More ❯

improvement and automation to streamline data analysis workflows Collaborate with cross-functional teams to identify KPIs and design data collection methods. Experience Technical data scripting and modelling skills E.g. SQL, Python Familiarity with digital media platforms, advertising metrics, and performance tracking. Experience with Data Visualisation Software (PowerBI, Tableau and/or Google Data More ❯

led product decisions that impact thousands of clients Design and run experiments that fuel commercial growth What you bring: 5+ years in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus More ❯