226 to 250 of 2,012 Remote SQL Jobs

You will follow the firm's career progression programme and will receive industry recognised training in: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and MongoDB. This is a truly amazing opportunity to work for a forward thinking and progressive company, one that can provide you with on-going support, a structured career path More ❯

z2bz0 years of experience as a Data Engineer or similar role. Strong experience with Azure data services (ADF, Databricks, ADLS, Synapse, Event Hub, etc.). Proficiency in SQL and experience with Python/PySpark . Hands-on experience building ETL/ELT pipelines in cloud environments. Solid understanding of data modelling, warehousing concepts, and distributed data systems. Experience with version More ❯

z2bz0 years of experience as a Data Engineer or similar role. Strong experience with Azure data services (ADF, Databricks, ADLS, Synapse, Event Hub, etc.). Proficiency in SQL and experience with Python/PySpark . Hands-on experience building ETL/ELT pipelines in cloud environments. Solid understanding of data modelling, warehousing concepts, and distributed data systems. Experience with version More ❯

and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with More ❯

and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with More ❯

Medallion architecture . Hands-on experience with AWS services such as S3, Glue, Lambda, Batch, and IAM. Strong skills in Python for data engineering, automation, and testing. Confident using SQL for data analysis and building queries in Databricks SQL. Experience implementing CI/CD pipelines (e.g. GitHub Actions, Azure DevOps, or Jenkins). Familiarity with Git and version control best More ❯

or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series forecasting, deep learning. Programming in Python and SQL; proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn). Big data technologies and cloud platforms (AWS, Azure, or GCP). Track record of deploying models into production and measuring business More ❯

or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series forecasting, deep learning. Programming in Python and SQL; proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn). Big data technologies and cloud platforms (AWS, Azure, or GCP). Track record of deploying models into production and measuring business More ❯

in large-scale or multi-account cloud environments. Strong analytical skills with hands-on experience using AWS Cost Explorer, CloudHealth, Cloudability, or similar tools. Confident working with data (Excel, SQL, or BI tools like Power BI) and turning numbers into meaningful insights. Familiarity with budgeting, forecasting, and financial modelling (OPEX/CAPEX). Excellent communicator – comfortable translating between technical and More ❯

API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery More ❯

API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery More ❯

API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery More ❯

API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery More ❯

cloud-based data warehouse solutions). Familiarity with integration and automation tools such as Boomi, Celigo, or equivalent. Experience working in a serverless or modern cloud environment . Strong SQL skills and experience with Python or another scripting language for data processing. Understanding of data governance , quality assurance, and performance optimisation. Excellent communication and problem-solving skills — comfortable shaping strategy More ❯

technologies. Expertise in architectural design and solution development. Proficiency with Objective-C, Swift, C++, C. Deep knowledge of macOS platforms. Technologies: Xcode, XPC Services, Apple Frameworks, C++ standard libraries, SQL, Networking (macOS and nix APIs), TLS/SSL, bash scripting. JSON/XML data handling. Experience with unit and automation testing. Bonus skills (nice-to-haves): Objective-C/Swift More ❯

management and maintenance. oFTP, Lotus notes client support oSystem center configuration management oApple business manager and mobile device management using Intune. oKey management services oAtlassian Jira administration oBasic MS SQL DBA oMicrosoft power automate, flow knowledge. Project and Architectural oUpgrade/Consolidation/merger of different forest Active directory domain, DNS, DHCP, users, groups and security policies. oConsolidation/merger More ❯

Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen interest in staying current with the More ❯

Information Security policies and protocols. Level Specific Responsibilities Junior Data Engineer • Assist in building and debugging data pipelines • Learn and apply best practices in data management • Write and optimise SQL queries and Python scripts • Assist with research, innovation, data projects and data product development • Support the delivery and supply of data to customers • Work under guidance from mid-level and More ❯

and model enablement tools; experience with model documentation standards and governance protocols. Technical expertise in data pipeline development, data testing, and statistical performance monitoring using tools such as Python, SQL, R, and/or commercial analytics platforms. Demonstrated ability to lead root cause diagnostics and continuous improvement initiatives to reduce model development cycle time and improve scalability. Desired Characteristics : Advanced More ❯

students to apply, from newly graduated through to MSc/PhD. • Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. • We are unable to offer sponsorship for this programme and you must have More ❯

and within budget. Financial services experience, ideally life and pensions, desirable. Technical Skills: Languages & Frameworks: Essential skills: COBOL, C, C#, and desirable across Java, .NET, Python, Perl, Smalltalk Databases: SQL, SQL Server (SSIS & SSRS), PostgreSQL Tools & Technologies: Visual Studio, Git, Papyrus Software, XML Please apply today for immediate CV review and interviews planned Nov/early Dec. Kinetech is acting More ❯

the industry, on a greenfields project! Requirements: Strong experience working with C#/.Net Experience working with Cloud Technologies (Azure preferred) Experience working with Typescript - Angular or React Strong SQL experience Finance experience a plus! Strong Communication skills with a drive to be working with the best tech! If this sounds like your next role and you would be keen More ❯

per annum. **Candidates must have full right to work in the UK, we are unable to offer sponsorship for this position. What You’ll Bring Strong Python, SQL, and dbt experience in production settings. Knowledge of cloud data warehouses (BigQuery, Redshift, Snowflake) and denormalised data models. Experience developing ETL/ELT pipelines across varied data sources Experience deploying and managing More ❯

per annum. **Candidates must have full right to work in the UK, we are unable to offer sponsorship for this position. What You’ll Bring Strong Python, SQL, and dbt experience in production settings. Knowledge of cloud data warehouses (BigQuery, Redshift, Snowflake) and denormalised data models. Experience developing ETL/ELT pipelines across varied data sources Experience deploying and managing More ❯

of predictive models for sales forecasting. Profile A successful BI Analyst - Sales & Marketing should have: Strong analytical skills and attention to detail. A good knowledge of Power BI and SQL Proficiency in business intelligence tools and data visualisation software. Experience in analysing sales and marketing data. Knowledge of the life science industry or a similar sector. Ability to collaborate effectively More ❯