1,201 to 1,225 of 6,944 Permanent SQL Jobs

product function Data product thinking and strategy contribution Stakeholder management and communication Growing domain expertise in data, analytics and AI — including an understanding of SQL, data modelling concepts and pipeline architecture Problem identification and analytical thinking across data domains Business impact analysis, ROI measurement and data SLA definition Understanding … data-heavy products that use, collect and surface data, or products that relied on data-informed decisions throughout Data literacy — an understanding of SQL and comfortable working alongside data engineers and analysts Experience contributing to data governance frameworks or data quality standards Experience supporting or mentoring other product managers Experience ...

React. Understanding of APIs and experience consuming or building RESTful services. Foundational experience of Microsoft Azure services, such as App Service, Functions, Storage, Azure SQL, Cosmos DB and messaging services. Understanding of source control and collaborative development using Git and GitHub, including branches, pull requests and code reviews. Exposure …/CD concepts and tools such as Azure DevOps or GitHub Actions. Ability to write and troubleshoot SQL queries, with awareness of NoSQL databases. Understanding of automated testing and experience writing unit or integration tests. Awareness of application security, data protection, accessibility, performance and observability principles. Familiarity with Agile delivery ...

suggesting upgrades or additional features to meet their requirements. Answer questions and provide guidance regarding products, platform and technology including Jet and other products, SQL Server, data from predominantly Microsoft Dynamics ERP solutions or financials and visualisation tools such as Power BI. Address all product-related queries on time, support … good record history of this region. Qualifications Solid technical background with hands on experience in digital technologies including Microsoft Dynamics ERP or financials, SQL and Power BI Bachelor’s degree in computer science or related field preferred or strong technical experience Proven work experience as a Technical Account Manager ...

building lean processes Experience with distributed data processing Experience with monitoring, testing, and data quality Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing ...

follow. Clever with data... combining data,insight, and action to drive value Responsibilities Principal responsibilities will involve: Provision, configure and operate Databricks workspaces, clusters, SQL warehouses and pools across our cloud environment Implement and maintain Unity Catalog: catalogs, schemas, external locations, row/column-level security, lineage and audit Build … including networking, IAM and storage Proficiency with Terraform (ideally the Databricks provider) and Gitbased CI/CD workflows Solid programming skills in Python and SQL; comfortable with PySpark and shell scripting Experience tuning Spark jobs and Delta tables (partitioning, Working knowledge of SSO/SCIM, identity providers and secretsmanagement Understanding ...

Core Experience with Application Technologies, such as DI, LINQ and JSON Experience with Web Technologies, such as SOAP, REST, OAuth Experience with T-SQL and SQL Server Written and interpersonal skills Qualifications/Experience We Prefer: Understanding of Agile and DevOps development methodologies Knowledge of TDD practices Knowledge of build ...

features and continuously improve performance, automation, and resilience. What you will be doing... Design, build, and maintain Azure services including App Service, Azure SQL Database, Application Gateway, API Management, Storage Accounts, and Databricks. Implement Infrastructure as Code (IaC) using Terraform and scripting (PowerShell, bash). Collaborate with architects and development … projects, work well with the wider team, and support/mentor junior colleagues. Essential Strong hands‐on experience with Azure services: App Service, Azure SQL Database, Application Gateway, API Management, Servicebus, Storage Accounts, Databricks Expertise in Infrastructure as Code using Terraform and scripting knowledge (PowerShell, bash). Experience building ...

sometimes ambiguous questions into well‐defined analytical problems. Develop and implement data‐driven solutions to solve real‐world business problems across the company. Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods … Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit‐learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit ...

improve the accuracy of reporting. Understand reporting requirements for each department to increase quality of communication across the business.;Reporting to external stakeholdersData engineeringWriting SQL to pull, clean and reconcile financial and operational data from across the business, and building the datasets and pipelines that feed our operating model … build, test and speed up your work;Integrating with third-party tools e.g. Looker, Snowflake and NetSuite. The requirementsProficient user of Excel and SQL;Experience building something end-to-end — a pipeline, a dataset or an automated report;Comfortable working with data from multiple sources, and confident tracing it back ...

Experience designing and developing cloud-native applications with a microservices architecture running on Docker/OpenShift/Kubernetes. Strong application development skills in Java, SQL (SQL Server, Oracle, etc.) and messaging platforms such as Kafka and MQ. Experience with the Spring framework and Spring Boot technologies. Experience in Java REST ...

5+ years of experience in data analysis or data science, with a focus on user lifecycle, customer analytics, or subscription metrics. You bring advanced SQL skills and are comfortable querying and manipulating large datasets in a cloud data warehouse environment. You have experience building and maintaining data pipelines or intermediate … Customer Data Platform) tools like BlueConic. Programming skills in Python or R for advanced data analysis or to implement custom predictive models beyond basic SQL (e.g., using libraries for churn modeling or LTV projections). Experience analyzing web/app user behavior using tools like Google Analytics or Mixpanel, especially ...

Scripting knowledge (Shell/PowerShell) and Python (advantageous) Experience with Agile/Scrum practices Exposure to on‐prem to cloud migration (preferred) Knowledge of SQL/PL‐SQL optimisation Familiarity with Control‐M or scheduling tools (desirable) Experience in financial services/investment banking environments Strong communication and stakeholder management ...

data platform and improve how data moves between our application, warehouse and product surfaces. Build clean, well-tested and reusable solutions using Python, SQL and dbt. Improve data quality, observability and reliability so teams can trust the data they use. Work with product, engineering, commercial teams and educational experts … people around you more effective. You have significant experience designing, building, maintaining and scaling production data pipelines and platforms. You have strong Python and SQL skills and produce clear, maintainable and well-tested code. You understand data modelling, database architecture and the trade-offs involved in building reliable, scalable data ...

data services including BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI. Advanced proficiency in dbt, Python, and SQL for designing, building, and optimizing cloud-native data platforms and transformations. Strong expertise in ETL/ELT architecture , data pipeline development, data modelling, and data warehousing ...

experimenting, and push for innovative designs to help us building better product experiences for our clients. Tech Stack You'll Work OnBackend: Python, Typescript, SQL, APIs, microservices, containersFrontend: Angular, JavaScript, HTML5/CSSCloud: AWS (EC2, Lambda, Glue, EKS, SQS, SNS and any other as required)Databases: SQL Server, PostgreSQL, DynamoDB ...

designing and implementing frameworks that monitor data health, detect anomalies, and enforce standards across complex data pipelines and platforms. You'll have excellent SQL and Python skills coupled with experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo ...

enforce standards across complex data pipelines and platforms. You'll have experience in Data Engineering, Data Platform, or Data Observability roles, with strong SQL and Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata ...

Engineer or Data Consultant Hands-on expertise in Snowflake and Databricks Proficient in Microsoft Azure, including Azure Data Factory and Azure Data Lake Advanced SQL and Python or PySpark skills Experience building enterprise-level ETL/ELT pipelines Knowledge of data modelling, governance, and data quality Previous consultancy or client ...

enforce standards across complex data pipelines and platforms. You'll have experience in Data Engineering, Data Platform, or SRE-style roles, with strong SQL and Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata ...

surveys or other qualitative evidence. Good knowledge of data privacy, security and analytical quality assurance. Desirable skills and experience Experience with Power BI, GA4, SQL, Python, R or similar analytics tools. Experience mentoring junior analysts or improving analytical processes. Experience in Agile, public-sector or user-centred digital delivery. What ...

/or Data Engineering. Hands-on experience building AI agents and agentic workflows. Strong knowledge of prompt engineering and RAG. Strong Python and SQL skills. Experience with Azure Databricks and/or Microsoft Fabric. Work with Power Platform and Copilot Studio to deliver business automation and AI solutions. Experience building ...

analytics capabilities across the business. Your Skills & Experience Strong commercial experience in data engineering and data integration. Hands-on experience with DBT. Advanced SQL skills for data transformation and automation. Experience working with Snowflake and cloud-based data platforms. Strong understanding of data modelling and data warehousing concepts. Experience building ...

experience (Looker Studio, Power BI, or similar) Strong stakeholder communication skills Excellent problem-solving and analytical skills Nice to have Adobe Analytics BigQuery/SQL experience App analytics experience Product analytics tools such as Mixpanel Insurance, financial services, or digital product environments Why join? Work on both website and mobile ...

technical audiences What We’re Looking For Strong experience in data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding ...

which bits can wait. You're hands‐on and expect to stay that way. You'll be writing the SQL and building the models yourself for a good while. We keep the middle thin on purpose. You simplify. Faced with forty dashboards, your instinct is to work out which … tools daily. Not "I've tried ChatGPT". You use Claude Code or similar as part of how you actually work: writing and debugging SQL, navigating an unfamiliar schema, automating your own checks. Essential Experience Substantial experience in analytics, BI or data leadership, including a spell owning the numbers ...