1 to 25 of 145 Permanent SQL Jobs in Manchester

Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related discipline. • Strong proficiency in Python for data analysis, machine learning, and automation. • Advanced SQL skills, including complex joins, subqueries, window functions, and query optimisation. • Experience developing dashboards and visualisations using tools such as Power BI. • Strong understanding of machine learning ...

intelligence. ·Proficiency in Power BI, including data modelling, DAX, and visualisation best practices. ·Strong analytical skills with the ability to interpret complex datasets. ·Solid SQL skills for querying and preparing data. ·Experience working with stakeholders to understand needs and present findings. ·High attention to detail and strong data quality mindset. ...

/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) • Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) • Familiarity with ERP systems (SAP S/4HANA preferred) • Experience working with APIs, system integrations, and structured/ ...

flexibility Key experience - What we're looking for: Experience as a Data Engineer, Data Developer or AI Engineer Strong programming skills in Python and SQL Hands-on experience building and maintaining data pipelines Exposure to AI/ML frameworks Experience with cloud platforms, data warehouses or big data technologies Strong ...

Security Privacy Compliance Skills & ExperienceEssential Experience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer) Strong programming skills (Python, SQL or similar) Experience building and maintaining data pipelines Working with structured and unstructured data Desirable Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn ...

with cross-functional and vendor teams? • Stakeholder management? • Modern cloud and analytics platforms? • Tools such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, SQL, and related stacks? • Agile, Waterfall, or hybrid delivery environments? Senior hires will also have experience leading multi-workstream programmes, managing large teams, owning client relationships ...

pipelines and ETL processes using AWS technologies such as Glue, Lambda, S3, and Redshift. Playing a key role in the migration of their existing SQL Server data warehouse to a modern AWS-based architecture. Developing data quality frameworks, validation processes, and monitoring solutions to ensure data accuracy and reliability. Design ...

data is reliable, auditable, and delivered at scale. Data Engineer Responsibilities Act as the subject matter expert across ADF, Databricks, Python, PySpark, and Spark SQL Manage the daily ingestion and processing of raw data into enterprise data platforms Collaborate with the wider team to define data flows and establish data ...

client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong stakeholder and programme leadership ...

with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work ...

data platforms and working with cloud technologies such as Microsoft Azure Good grounding in programming and data engineering languages and frameworks such as Python, SQL, Microsoft Fabric and Databricks Certifications in relevant cloud and data technologies (Azure etc.) would be beneficial Excellent communication skills and the ability to inspire confidence ...

management systems , ideally Mosaic; experience with Liquidlogic (LCS/EHM) or CareFirst will also be considered. Advanced analytical and technical skills , including proficiency in SQL and Excel, alongside experience using data visualisation tools (eg Power BI, Tableau) and/or GIS systems to present complex data clearly. Strong stakeholder engagement ...

Skills Python (or similar programming languages) TensorFlow, PyTorch, or similar ML frameworks Cloud AI services (Azure AI, AWS SageMaker, GCP AI Platform) Data technologies (SQL/NoSQL, Spark, Databricks) API and microservices architecture DevOps/MLOps tooling Desirable Experience Experience with Generative AI solutions (e.g. Azure OpenAI, GPT-based models ...

Data Factory, Microsoft Fabric, Talend, IBM DataStage, SAS DI Studio or AWS Glue. Advanced data modelling, transformation and querying skills using languages such as SQL and Python. Experience delivering data quality, metadata management and governance solutions using tools such as Microsoft Purview, Collibra Data Catalog, Informatica IDQ or Talend Data ...

Excel at an Intermediate Level Excellent Microsoft Office awareness & skill Desirable Advanced Mathematics Statistics Forecasting Microsoft Excel at an advanced Level Ability to use SQL to manipulate and extract data Qlik Development Knowledge Essential Awareness of hospital/clinical, acute and community systems. Understanding of the operational role ...

practices Act as a bridge between technical teams and the business Skills & Experience Proven experience in Analytics Engineering, Data Engineering, or BI Development Strong SQL skills and experience with Power BI/Power Query (or similar tools) Hands-on experience with cloud platforms (ideally Azure) Solid understanding of data modelling ...

Data Engineering | Requirements: Solid data engineering foundations — pipelines, data platforms, ingestion, transformation, and serving at scale Hands-on experience with Python and SQL in production environments Exposure to AI/ML workloads — you've built infrastructure that supports data scientists or ML engineers, even if you haven't been ...

data platforms and working with cloud technologies such as Microsoft Azure Good grounding in programming and data engineering languages and frameworks such as Python, SQL, Microsoft Fabric and Databricks Certifications in relevant cloud and data technologies (Azure etc.) would be beneficial Excellent communication skills and the ability to inspire confidence ...

enable better decision making Your Skills and Experience Strong commercial experience as a data engineer in modern, cloud based environments Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands ...

data platforms and working with cloud technologies such as Microsoft Azure Good grounding in programming and data engineering languages and frameworks such as Python, SQL, Microsoft Fabric and Databricks Certifications in relevant cloud and data technologies (Azure etc.) would be beneficial Excellent communication skills and the ability to inspire confidence ...

/CD pipeline. Strong Accessibility, Security, Performance and Caching coding. Set yourself apart: Experience with building datastore solutions on at least one No-SQL(Elasticsearch). Proven ability to apply analytical and creative thought and translate into technical solutions. Proven ability to debug and resolve complex technical issues. Excellent leadership ...

professional development and staying current with industry trends. Proficient in at least two of the following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid ...

basis. You will have... A track record of managing multiple projects simultaneously to meet customer deadlines Skills to build strong relationships with customers Advanced SQL coding skills (any version, but we use Oracle) Experience coding in at least one dynamic scripting language (e.g., Python, Node JS, PowerShell or Apache Groovy ...

models Developing scalable backend services and AI integrations Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps ...

opportunity to genuinely influence engineering direction within a scaling business What they’re looking for 👇 😍 Strong hands-on Data Engineering experience across Python, Spark, SQL and PySpark 😍 Experience working with hyperscaler cloud platforms such as AWS, Azure or GCP 😍 Exposure to modern tooling including Databricks, Microsoft Fabric and PowerBI 😍 Previous ...