stakeholders. Strong organisational skills, with the ability to manage multiple campaigns and priorities. Experience using SQL

, or other quantitative discipline is beneficial, but not essential. Expert skills in SQL and databases, able to write structured

) - Strong experience with ETL/ELT pipelines and data lakes - Advanced SQL and data modelling skills - Experience building APIs

with distributed SQL systems in production. Experience or strong interest in implementing migration patterns (CDC/logical replication

with Hadoop, Hive or comparable enterprise data-lake technologies. Solid knowledge of SQL, data transformation, data modelling

developing machine learning models using Python Strong SQL and data analysis capabilities Knowledge of statistical

of a high-performing data team. Hands-on expertise with modern data platforms and analytical tools (especially SQL and python... and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis, and for scripting dbt

such as Excel, Python, SQL, and AI-enabled workflows Attention to detail in time-sensitive environments Control and risk

in a Data Engineering or Data Developer role. Strong SQL and Python programming skills. Hands-on experience with Google

in Databases, including MongoDB, SQL or Document Database Full-stack or backend engineering background with experience in Java

in Maths Scottish higher or international equivalent To have or are looking to build practical skills in Python, SQL, VBA

, dimensional modelling, and SQL. Experience working with student record databases (preferably Tribal SITS) and preparing HESA

technical courses and present information to technical audiences Understanding of relational databases and SQL scripts

-solving Working knowledge of SQL and data Experience using Git and GitHub, including branching and pull requests

languages and applications (PYTHON, SQL, FME) desirable Relevant degree qualification and/or demonstrable experience

analysis and processing; SQL skills are a bonus. - Fluency in English and proven ability to conduct cross regional research

, Warehouse, Data Factory, Spark and Power BI. Strong Engineering Skills - You're proficient in SQL, Python and PySpark

such as Microsoft SQL Server, Azure Cosmos · Knowledge of Microsoft Graph API and Microsoft 365 policy management Experience

) into high-quality, BI-ready models (gold), ensure data quality and lineage, and enable fast, secure analytics through SQL... this role involve day to day? Data Engineering · Design and implement batch/streaming pipelines (PySpark, Spark SQL, DLT

) and SQL for preparing code, documents and tickets for retrieval Credibility with engineers and the ability to influence