26 to 50 of 161 SQL Jobs in Essex

exclusive features. Bachelor’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering, with strong expertise in Snowflake and AWS. Proficiency in SQL, Python, and ETL tools such as StreamSets and DBT. Hands-on experience with Oracle RDBMS. Proven data migration experience to Snowflake. Experience with AWS services including S3, Lambda, Redshift, and More ❯

Qualifications: Bachelor’s degree in computer science, Engineering, or a related field. 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong More ❯

accuracy, seamless integration, and the ability to transform complex data into meaningful insights. Responsibilities: Data Migration: Plan, execute, and manage data migration projects from diverse data sources (Dynamics 365, SQL, Oracle, Excel, etc.) to Microsoft DataVerse. Develop and implement data migration strategies ensuring data integrity, accuracy, and security. Troubleshoot and resolve data migration issues, optimising the process for efficiency. DataVerse More ❯

accuracy, seamless integration, and the ability to transform complex data into meaningful insights. Responsibilities: Data Migration: Plan, execute, and manage data migration projects from diverse data sources (Dynamics 365, SQL, Oracle, Excel, etc.) to Microsoft DataVerse. Develop and implement data migration strategies ensuring data integrity, accuracy, and security. Troubleshoot and resolve data migration issues, optimising the process for efficiency. DataVerse More ❯

accuracy, seamless integration, and the ability to transform complex data into meaningful insights. Responsibilities: Data Migration: Plan, execute, and manage data migration projects from diverse data sources (Dynamics 365, SQL, Oracle, Excel, etc.) to Microsoft DataVerse. Develop and implement data migration strategies ensuring data integrity, accuracy, and security. Troubleshoot and resolve data migration issues, optimising the process for efficiency. DataVerse More ❯

base of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you … will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data More ❯

base of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you … will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data More ❯

base of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you … will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data More ❯

are unable to offer visa sponsorship for this role) Exposure to cloud platforms (AWS, GCP, or Azure) Familiarity with version control (e.g. Git) and Agile methodologies Experience with databases (SQL or NoSQL) Personal or academic projects you’re proud of – GitHub links welcome! ? Competitive Salary & Bonus: £28,000 – £32,000 plus performance-based incentives ? Fully Remote Working: Flexibility to work More ❯

understanding of CI/CD, containerisation, and cloud-native infrastructure. Familiarity with frontend architecture (Angular or similar) and its integration with backend services. Solid grounding in data architecture, both SQL and NoSQL; experience with data warehousing and ADF is advantageous. Comfortable leading architecture across multiple teams in a fast-moving Agile delivery environment. What’s on Offer: High-trust, flexible More ❯

on in everything from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability More ❯

on in everything from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability More ❯

on in everything from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability More ❯

solid understanding of customer databases and CRM journey logic Exceptional time management skills and the ability to juggle multiple priorities You’ll stand out if you’ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such More ❯

values. Any other reasonable duties as requested by management. Required Experience and Qualities Experienced IT professional with a strong technical background and knowledge. Proven experience of the following: Microsoft SQL Server versions 2005 through to 2016/2019 SQL Server Administration SQL Server Integration Services SQL Server Reporting Services SQL Server Analysis Services All aspects of database schema: tables, indexes … triggers, stored procedures, and functions. All aspects of SQL DML: select, insert, update, delete. All aspects of SQL DDL: create, alter, drop, truncate. All aspects of SQL TCL: begin transaction, commit, rollback, savepoint. Experience or the willingness to learn MariaDB/MySQL. Experience in or the ability to learn to develop applications/services using Visual Studio on a Windows More ❯

and timeliness. Ensure security and cost-effectiveness of operations through thoughtful oversight. Required Experience Proven experience in large-scale data/content operations and platform engineering. Expertise in Microsoft SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and More ❯

and timeliness. Ensure security and cost-effectiveness of operations through thoughtful oversight. Required Experience Proven experience in large-scale data/content operations and platform engineering. Expertise in Microsoft SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and More ❯

for heterogeneous sources like EBS/Siebel/Taleo/Fusion Cloud. The functional modules should cover Financials, Manufacturing, Supply Chain, Procurement and Spend, Sales, etc. Proficiency in Oracle SQL, PL/SQL, and data modelling concepts. Have experience and in-depth understanding of Data Model and Business process functionality and its data flow in Oracle Business Intelligence Applications #J More ❯

for heterogeneous sources like EBS/Siebel/Taleo/Fusion Cloud. The functional modules should cover Financials, Manufacturing, Supply Chain, Procurement and Spend, Sales, etc. Proficiency in Oracle SQL, PL/SQL, and data modelling concepts. Have experience and in-depth understanding of Data Model and Business process functionality and its data flow in Oracle Business Intelligence Applications #J More ❯

in Databricks development Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures. Must have hands on experience in SQL development Excellent Communication skills & Logical thinking Seniority level Seniority level Mid-Senior level Employment type Employment type Part-time Job function Job function Information Technology Industries IT Services and IT More ❯

team Desirable Skills and Experience UX design using Figma or equivalent software Python FastAPI Alembic AWS Terraform Cybersecurity and secure software development practices Bioinformatics Relational database design and development (SQL) Laboratory information management systems, preferably Benchling Title: Frontend/Full stack Developer Location: Chesterford Research Park, Cambridge Holidays: 30 days + Bank Holidays Benefits: Flexible working, stock option plans, discretionary More ❯

modern technologies. Bachelor’s degree in Computer Science, Engineering, or related field—or equivalent industry experience in lieu of a degree. Hands-on experience with .NET, Java, APIs, microservices, SQL/NoSQL databases, and CI/CD pipelines; strong understanding of cloud/on-prem infrastructure, firewalls, and security protocols. Proven experience delivering projects involving ECM, RPA (e.g., UIPath, AutoIT More ❯

modern technologies. Bachelor’s degree in Computer Science, Engineering, or related field—or equivalent industry experience in lieu of a degree. Hands-on experience with .NET, Java, APIs, microservices, SQL/NoSQL databases, and CI/CD pipelines; strong understanding of cloud/on-prem infrastructure, firewalls, and security protocols. Proven experience delivering projects involving ECM, RPA (e.g., UIPath, AutoIT More ❯

modern technologies. Bachelor’s degree in Computer Science, Engineering, or related field—or equivalent industry experience in lieu of a degree. Hands-on experience with .NET, Java, APIs, microservices, SQL/NoSQL databases, and CI/CD pipelines; strong understanding of cloud/on-prem infrastructure, firewalls, and security protocols. Proven experience delivering projects involving ECM, RPA (e.g., UIPath, AutoIT More ❯

and small group coaching sessions to support Data Engineer apprentices across a variety of industries Provide technical mentoring in core Data Engineering tools, techniques, and methodologies — including Python, SQL, ETL pipelines, data warehousing, cloud platforms, and version control Offer pastoral support, helping learners stay on track and fully motivated throughout their programme Support learners in building confidence and developing practical … in Data Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or More ❯