1,551 to 1,575 of 7,713 Permanent SQL Jobs

markets and financial instruments, with an emphasis on credit risk modeling preferred. Basic understanding of database modeling/design and applications, including knowledge of SQL and experience in databases such as Oracle, Sybase, or Access. Proficiency in Microsoft Excel/VBA and programming languages such as R, Python, C++ ...

Hybrid working typically 23 days per week on site. Sponsorship not available We are recruiting an experienced SQL Server Database Developer to join an established development team working on new systems development and wider technology change. This is a hands-on role for somebody whose background is firmly centred around … Microsoft SQL Server and T-SQL development , rather than SSIS, ETL or data engineering. You will work closely with application developers and business stakeholders, designing and developing database solutions supporting business-critical applications. Key responsibilities SQL Server database development Complex T-SQL development and optimisation Stored procedures, views and functions ...

will work on business-critical reporting, data quality, and transformation initiatives, with a hands-on approach to data. The role requires expertise in SQL, Microsoft Fabric, Power BI, and data modelling. You will collaborate with stakeholders to improve data processes and help develop a modern data platform. #J-18808-Ljbffr ...

Lead SQL Developer - Up to 75K + Hybrid (2 days in office), 15% Pension, Private Healthcare + Microsoft Certifications - Leeds Central We are looking for a highly motivated and experienced Lead SQL Developer to join a growing digital and data function based in central Leeds. This exciting opportunity will suit … talented data professional with strong experience across SQL Server, ETL, Data warehousing and modern data platform technologies. You will be joining an established data function of 18 professionals supporting a £650 million revenue organisation with over 2,500 employees. This role combines hands-on engineering, team leadership and strategic decision ...

will drive automated data pipeline development from requirements gathering to data modelling, reporting and supporting the business. The ideal candidate will have proficiency in SQL and Python, MS Fabric, and experience with BI tools such as Power BI or Tableau. A strong emphasis on collaboration with Engineering teams and delivering ...

security. You will collaborate with multiple project teams, mentor junior analysts, and maintain relationships with internal and external stakeholders. The role requires strong SQL, Power BI skills, and experience with data integration tools such as #J-18808-Ljbffr ...

Lead SQL Developer - Up to 75K + Hybrid (2 days in office), 15% Pension, Private Healthcare + Microsoft Certifications - Leeds Central We are looking for a highly motivated and experienced Lead SQL Developer to join a growing digital and data function based in central Leeds. This exciting opportunity will suit … talented data professional with strong experience across SQL Server, ETL, Data warehousing and modern data platform technologies. You will be joining an established data function of 18 professionals supporting a £650 million revenue organisation with over 2,500 employees. This role combines hands-on engineering, team leadership and strategic decision ...

Master's degree in a related field and at least 6 years of experience within the Banking and Financial Services sector. Proficiency in SQL, data visualization tools like Tableau or Power BI, and advanced Excel skills are essential. Knowledge of Python or R for data analysis is preferred. This ...

Bentley and our design and build companies MMB and JBA Bentley, annual revenue now exceeds £650 million. We're looking for a Lead SQL Developer to join our expanding development team based in Leeds. As a Lead SQL Developer, you'll play a key role in developing new systems, integrating … business, you'll help transform business requirements into practical, data-driven solutions that support decision making and drive operational improvements. As a Lead SQL Developer, you will: Analyse business requirements and translate them into database and integration solutions.Design, develop and maintain SQL queries, stored procedures, scripts and database objects.Build ...

Bentley and our design and build companies MMB and JBA Bentley, annual revenue now exceeds £650 million. We're looking for a Lead SQL Developer to join our expanding development team based in Leeds. As a Lead SQL Developer, you'll play a key role in developing new systems, integrating … business, you'll help transform business requirements into practical, data-driven solutions that support decision making and drive operational improvements. As a Lead SQL Developer, You Will Analyse business requirements and translate them into database and integration solutions. Design, develop and maintain SQL queries, stored procedures, scripts and database objects. ...

Market Data Analyst (Python SQL) Newcastle onsite to 120kAre you a Market Data Analyst with a strong understanding of financial data platforms and a passion for solving complex problems You could be progressing your career at a well funded FinTech start-up, backed by an established Hedge Fund, where … Financial Services environmentYou have a strong knowledge of market data vendors and services such as Bloomberg, Refinitiv or similar platformsYou have strong Python and SQL programming skills, with experience automating processes and analysing financial dataYou have excellent analytical and problem solving abilities with a keen eye for data quality ...

governance, data quality, or analytics transformation programs Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing Demonstrated experience using enterprise-authorized ...

monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed compute (Spark/Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g. … processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Applied NLP experience - text-to-SQL/natural-language query, entity extraction and linking, relevancy ranking, summarization, and news or research feed analytics; exposure to computer vision or multi-modal document ...

attacker tooling using sandbox or detonation environments and extracting IOCs, C2 infrastructure, and behavioral indicators.Proficiency in at least one query language (KQL, SPL, CQL, SQL), the ability to read and understand code, and working scripting ability (e.g., Python, Bash) for enrichment and automation.Strong written and verbal communication skills, including ...

tooling using sandbox or detonation environments and extracting IOCs, C2 infrastructure, and behavioural indicators. Proficiency in at least one query language (KQL, SPL, CQL, SQL), the ability to read and understand code, and working scripting ability (e.g., Python, Bash) for enrichment and automation. Strong written and verbal communication skills, including ...

enterprise systems. Strong knowledge of Python or C#/.NET development within enterprise environments. Experience developing applications in multi-threaded and distributed environments. Strong SQL development skills, including complex query optimisation and database design. Experience working with SQL Server, ClickHouse, or other high-volume data platforms. Experience building and consuming ...

architecture, development, deployment, and optimization. Define Databricks workspace architecture, clusterstrategies, security models, and operational standards. Design and developscalable data pipelinesusing Databricks, Apache Spark, PySpark, SQL, andDelta Lake . Implement data ingestionframeworks supporting batchand real-timedata processing. Design Delta Lake architectures including: Delta tables Medallion architecture (Bronze/Silver/Gold … dataengineering, big data, or solution architecture. Strong hands-onexperience with Databricks Platform . Expert knowledge of: Apache Spark PySpark/Scala Delta Lake SQL Data Lakehouse architecture ETL/ELT development Experience designing anddelivering enterprise Databrickssolutions. Strong experience withcloud platforms: Azure Databricks (preferred) AWS Databricks Google Cloud Databricks Experience with ...

this role over the next few months will include: Designing, building and maintaining production-grade data pipelines and services across AWS, PySpark, Snowflake and SQL-based transformation frameworks Developing and maintaining modular, testable and high-quality data models and transformation pipelines using DBT or equivalent structured SQL frameworks Improving pipeline … DevOps Performance optimisation and large-scale data processing Data modelling (RDV/BDV or similar patterns preferred) Query performance tuning DBT (or equivalent SQL transformation framework) Development of modular, testable data models Experience working in structured transformation frameworks (e.g. dbt, Grid-style approaches) Hands-on experience with GitHub Actions ...

Exposure to different project delivery lifecycles, Waterfall and Agile. A good understanding of the scope and purpose of the core banking functions Knowledge of SQL (able to query and examine data, rather than build solutions) Ability and experience of working under pressure Ability to liaise with business and IT stakeholders ...

data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No‐SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call ...

experience as a senior data or analytics engineer, comfortable owning architecture and making source-of-truth decisions independently. Strong hands-on data skills: fluent SQL, solid data modelling, and a modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus ...

years of experience in data-focused roles (Data Engineer, Data Scientist, Data Analyst, or similar). Core Technical Skills: Proven expert-level proficiency in SQL and Python for daily data manipulation and pipeline development. Data Architecture: Extensive experience with data modelling, ETL frameworks, data visualization, and query optimization techniques. Scalability ...

responsibilities: Managing a support ticketing system for report requests from stakeholders within the business. Extraction of key management information and data internal systems using SQL and Power Query Critical assessment of information produced for reasonableness and data quality/accuracy Designing, amending and keeping up to date a variety … SQL queries that drive systematic reporting on a number of platforms alongside ad hoc reporting and data extraction. Defining and maintaining a catalogue of standard reports to use as a reference for future requests and to identify gaps in current information Support the Finance Business Manager in maintaining suite ...

clear and engaging manner. Strong experience using: Power BI Desktop Power BI Service Power Query Experience developing interactive dashboards, reports, and data models. Solid SQL skills and experience working with multiple databases and data sources. Strong analytical and problem-solving abilities. Ability to interpret complex datasets and communicate findings effectively. ...

numerate discipline with strong statistical grounding (statistics, mathematics, data science, economics, or similar), or equivalent experience Strong hands-on Python and/or SQL experience for data manipulation and analysis Experience turning messy data into defensible findings, flagging thin samples and not overstating results Comfortable with structured qualitative classification ...