26 to 50 of 2,188 SQL Jobs

experience with Apache Spark/PySpark Experience building and optimising enterprise-scale ETL pipelines Strong understanding of modern data architecture and Lakehouse concepts Advanced SQL and distributed data systems expertise Experience with cloud platforms such as AWS, Azure or GCP Experience working within Agile delivery environments Excellent stakeholder management ...

platforms (AWS, Azure, GCP, OCI) and cloud-native data services. Extensive experience designing and building large-scale data pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud ...

data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

someone who combines strong technical expertise with excellent stakeholder engagement skills. Essential Skills & Experience Strong experience designing and supporting Business Intelligence solutions. Advanced SQL skills with experience in data querying and transformation. Experience with Power BI, including dashboard and report development. Knowledge of DAX and Python. Experience building and maintaining ...

clarity, speed, and confidence. Significant hands-on experience in data engineering, analytics engineering, or related disciplines delivering enterprise data solutions Strong proficiency in Databricks, SQL, and Python/PySpark, including building, optimizing, and troubleshooting ETL pipelines Experience designing scalable, maintainable data architectures and dimensional models for BI, reporting, and analytical ...

Criteria Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation ...

challenge assumptions and understand how businesses really operate A genuine desire to learn, develop and build a long-term career Experience with Power BI, SQL, Python, ERP systems or a manufacturing environment would be advantageous, but isn t essential. Full training and support will be provided for the right individual. ...

performance analysis, data analytics or product analytics, including digital products or services * Strong quantitative analysis, problem-solving and data interpretation skills * Proficiency in SQL, Excel and analytics platforms * Experience defining KPIs and developing product or service performance metrics * Strong dashboard development and data visualisation experience * Experience using Google Analytics ...

architecture decisions and constructively challenge the team. Hands‐on expertise is not required across all areas, but credibility and understanding is essential. Required Strong SQL and data modelling expertise Experience with modern cloud data platforms, preferably Microsoft Fabric, Azure Synapse, or similar lakehouse architectures Familiarity with Power BI or equivalent ...

articulate results clearly to both technical and non-technical senior stakeholders. Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP. What will set you apart Orchestration Mastery: Deep experience with data orchestration ...

SQL Database Administrator – SC Cleared – London/remote – 6-months My Customer is seeking an experienced SQL Database Administrator to join a large-scale infrastructure team, supporting a range of critical database transformation and migration projects. You'll play a key role in delivering database solutions, supporting application migrations … ensuring SQL environments are secure, resilient, and built to a consistently high standard. Skills required from the SQL Database Administrator: Active SC Clearance (mandatory). Experience in a Critical National Infrastructure environment Strong commercial experience administering Microsoft SQL Server environments. Experience working with SQL Server 2016 through to SQL Server ...

policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures ...

methodical approach to working with data. Excellent skills in Excel (including formulas and pivot tables) and familiarity with at least one scripting language (Python, SQL or similar). Good communication skills with the ability to explain technical information to non-technical colleagues. A positive, curious mindset and willingness to learn ...

/ELT pipelines and orchestration tools such as AWS Glue, AWS Lambda, and Apache Airflow. Deep understanding of data modeling concepts and robust SQL development. Expertise in designing scalable, cost-effective cloud architecture and infrastructure. Hands-on experience building and maintaining automated CI/CD pipelines. Full-lifecycle application development ...

Fabric, Azure or similar platforms Strong knowledge of data modelling and modern analytics architectures Experience optimising data for Power BI reporting and dashboards Strong SQL skills with experience of DAX and Python or other scripting languages Understanding of data governance, GDPR and data quality best practice Excellent communication and stakeholder ...

Support and mentor colleagues within a collaborative environment About You: - 5+ years' experience in data, analytics, AI or machine learning - Strong technical skills (Python, SQL, data pipelines) - Experience with AI technologies (e.g. LLMs, vector databases, Azure/OpenAI tools) - Proven ability to deliver insights via tools like Power ...

requirements. Support deployments, testing and source control using Azure DevOps. Produce technical documentation and promote data engineering best practices. Essential Skills & Experience Experience with SQL development and database solutions. Experience with ETL development using SSIS, Azure Data Factory and/or Synapse Pipelines. Understanding of data warehousing concepts, including fact ...

requirements. Support deployments, testing and source control using Azure DevOps. Produce technical documentation and promote data engineering best practices. Essential Skills & Experience Experience with SQL development and database solutions. Experience with ETL development using SSIS, Azure Data Factory and/or Synapse Pipelines. Understanding of data warehousing concepts, including fact ...

continuous improvement of reporting processes, dashboard usability and data standards Your Skills and Experience * Strong commercial experience in data analysis or business intelligence * Advanced SQL skills and experience with cloud data platforms such as BigQuery * Experience with GA4 and Google Tag Manager * Proven experience building dashboards using tools such ...

value are key to your success. Essential Skills & Experience 3+ years' experience in Data Engineering with a focus on ETL/ELT development. Strong SQL and Python programming skills. Experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Experience working with cloud platforms, preferably Google Cloud Platform (BigQuery ...

ingestion. Strong understanding of data architecture, enterprise data models, data dictionaries and data governance. Experience working with Power BI or similar reporting platforms. Excellent SQL skills and a strong understanding of cloud-based data engineering best practices. Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. ...

with business objectives. Skills & Experience Required Essential 3-6 years' experience in Data Engineering or a related discipline. Strong programming experience with Python. Advanced SQL skills and experience working with large datasets. Hands-on experience with AWS services and cloud-based data platforms. Experience building and maintaining production-grade data ...

uses data going forward What We Are Looking For Proven experience as a Data Analyst in a professional, fast-paced environment Advanced proficiency in SQL — this is essential Strong experience with data visualisation tools such as Power BI, Tableau, or Looker Proficiency in Python or R for data analysis ...

Finance & Operations modules. Experience with C#, JavaScript, TypeScript, Power Apps, Power Automate, and Dynamics 365 plugin development. Experience working with Microsoft Dataverse and SQL-based data structures. Understanding of relational database concepts and data modelling principles. Experience designing and consuming integrations using APIs, REST/SOAP services, and cloud-based ...

fundamentals, with ability to operate at all stages of the delivery lifecycle, with an interest in learning and cross-skilling. You'll need: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue ...