1 to 25 of 776 Permanent SQL Jobs in Central London

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

technical direction and project outcomes. What You’ll Need 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

years of experience in data engineering or related roles. Strong expertise in Databricks, Spark, Delta Lake, and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse architectures. Familiarity More ❯

relevant languages such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. •Familiarity with SQL and NoSQL databases. •Understanding of data privacy and security concepts. • Ways of Working: •Comfortable working in Agile/Scrum environments, participating in sprint planning, stand-ups, and retrospectives. •Experience using More ❯

Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with More ❯

client priorities with delivery teams to ensure successful outcomes. Experience & skills you'll bring: 3+ years’ experience as a Data Analyst or Technical Business Analyst within Financial Services. Strong SQL skills for data querying, manipulation, and analysis. Ability to translate complex data into clear insights for technical and non-technical stakeholders. Experience in requirements gathering, documentation, process mapping, and data More ❯

hoc data projects and special initiatives as needed. Ensuring compliance with regulatory and governance standards, including consumer duty, financial crime, and prudent management requirements. What you can bring Strong SQL experience, with additional skills in Power BI (essential) and ideally some exposure to R, Python, DAX or similar languages. Experience working in cloud-based data environments , ideally Azure. A background More ❯

a global or large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. More ❯

Bachelor’s degree in a STEM field (Computer Science, Engineering, Maths, Physics). 2–4 years’ experience in a technical, data, or engineering-focused role. Strong skills in Python, SQL, and Excel/VBA . Experience building or maintaining ETL/data pipelines , particularly around APIs or FTP processes. Working knowledge of Microsoft Azure and Git . Excellent analytical, communication More ❯

enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or More ❯

core insurance operations (e.g., policy administration, claims, underwriting, billing) and related data structures. Strong skills in data analysis, data profiling, and data mapping (source-to-target). Proficiency in SQL for data extraction, analysis, and validation. Demonstrated ability to define and document detailed data transformation rules and validation criteria. Excellent analytical thinking, problem-solving, and attention to detail. Strong written More ❯

PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data governance frameworks and security best practices - Excellent communication and collaboration skills Nice More ❯

data governance, cataloguing, and lineage. Optimise Snowflake usage and AWS resource costs across environments. Requirements: Strong Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data Modelling Data Vault Airflow My client have very limited interview slots and they are looking to fill this vacancy ASAP. I have limited slots for 1st stage More ❯

degree in Computer Science or related STEM field (or equivalent experience). 10+ years of hands-on experience developing with C#/.NET in production environments. Strong command of SQL and relational database design. Deep understanding of software engineering principles and architecture patterns. Excellent written and verbal communication skills. Experience mentoring or managing developers. Demonstrated ability to lead technical projects More ❯

days annual leave plus bank holidays Performance-related bonus Private medical care And many more Role and Responsibilities Develop and maintain AWS-based data pipelines using Python, PySpark, Spark SQL, AWS Glue, Step Functions, Lambda, EMR, and Redshift. Design, implement, and optimise data architecture for scalability, performance, and security. Work closely with business and technical stakeholders to understand requirements and More ❯

data You’ll need to have: Full rights to work in the UK permanently 4 years’ experience in data analytics or data science working with complex data Excellent demonstratable SQL skills including complex queries and stored procedures Solid Python and Spark/Databricks skills and an understanding of delta tables Strong numerical, data handling and analytical skills in relation to More ❯

analytics or engineering, within the financial services sector. Advanced proficiency in Power BI and Microsoft Dynamics 365 (including marketing and sales modules). Demonstrable full-stack development skills in SQL, Turbo C and Python, with proven experience in API development and data integration. Experience designing scalable data architectures and ETL pipelines. Proven ability to manage multiple priorities and deliver projects More ❯

Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with More ❯

In conjunction with data colleagues, support the development of agency-wide data management processes to drive efficiency, quality and compliance Skills, experience, qualifications S kills Data manipulation and analysis SQL for querying and manipulation of structured customer and campaign data (mandatory) MS Excel including pivot tables, VLOOKUP, Power Query (mandatory) Python or R for advanced data manipulation, statistical analysis and More ❯

opportunities and solve data workflow challenges. Manage third-party vendors and consultants; oversee outsourced builds as needed. Core Skill Requirements Power BI : Strong experience building dashboards and data models. SQL : Comfortable writing and optimising queries for complex datasets. Python (or other scripting languages) : Exposure ideal; willingness to learn expected. Excel : Fluent, particularly for modelling and cross-functional reporting. Ability to More ❯

In the role you'll be working heavily from day one with SQL, Python and Power BI so it's essential that you have good working knowledge of these. You'll be helping the business build a new Azure platform, so exposure to Azure, ADF and Azure DevOps would also be highly beneficial.Principal Responsibilities: Perform the day to day running More ❯

databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/Tableau, Excel More ❯

platform. What you’ll bring Proven experience as a Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting More ❯

years in a lead or technical decision-making role. Are fluent in the modern data stack: DBT, BigQuery, Airflow, Terraform, GCP or AWS. Bring strong software engineering skills: Python, SQL, CI/CD, DevOps mindset. Understand data warehousing, ETL/ELT, orchestration, and streaming pipelines. Thrive in cross-functional product squads and collaborative work. If you are interested in this More ❯