10 of 10 DemandTrendPermanent Relational Database Jobs in Slough

level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins, GitHub Actions), and Infrastructure as Code (Terraform). More ❯

supported. What you’ll bring Bachelor’s degree in Computer Science (or STEM with relevant experience). At least 2 years of professional C# or Java experience. SQL/relational database skills. Clear written and verbal communication. Knowledge of financial derivatives and risk concepts (VaR, sensitivities, scenarios). Self‐starter mindset and strong problem‐solving skills. Nice to More ❯

sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a fast-paced consultancy or agency environment, within cross-functional teams Excellent problem-solving and communication More ❯

structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build More ❯

and competencies required to be successful in this role: Bachelor’s degree in a relevant field. Proficiency in Excel for data analysis and reporting. Good understanding of SQL and relational databases. Understanding of other programming languages such as Python/VBA would be beneficial. Strong attention to detail and analytical thinking. Clear and concise written and verbal communication skills. More ❯

teams have clean, structured data. What We’re Looking For Essential Proven expertise in Microsoft Azure data services (Azure Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database). Experience building ELT/ETL pipelines and managing data workflows. Proficiency in PySpark, Python, SQL, or Scala. Strong data modelling and relational database knowledge. Solid understanding More ❯

/Data Factory and modern data warehouse technologies - Databricks a must! Experience in data management disciplines, including data integration, modeling, optimisation, data quality and Master Data Management. Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB). Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines. Have More ❯

NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. More ❯

powered tools, automating workflows, analysing AI-driven insights, or exploring AI's potential impact on the function or industry. Demonstrated ability to troubleshoot difficult technical issues Strong Experience with relational databases (e.g. MySQL, Oracle) Java experience Experience in one (or more) scripting languages: JavaScript, Python, Perl, Unix Shell, Windows Shell) Advanced Unix/Linux experience Working knowledge of the … components in a web applications stack. Experience diagnosing performance degradation (e.g. explain plans, database tuning) Experience working well in a team environment while also being able to work productively while unsupervised Strong personal commitment to quality and customer service Excellent written and verbal communication skills with the ability to clearly articulate solutions to complex technical problems Ability to work More ❯

by working with various business stakeholders Qualifications Experience in a systems team within a law firm Strong understanding of legal department operations Knowledge of legal practice management systems and relational databases Excellent communication and problem-solving skills Highly motivated, eager to learn, and a strong team player Strong organisational skills and attention to detail Ability to work under pressure … and manage priorities effectively Required Skills Experience in a systems team within a law firm Strong understanding of legal department operations Knowledge of legal practice management systems and relational databases Excellent communication and problem-solving skills Highly motivated, eager to learn, and a strong team player Strong organisational skills and attention to detail Ability to work under pressure and More ❯