1 to 25 of 654 SQL Jobs in the City of 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 ❯

and an openness to new ideas; Professional integrity and respect for company values. Other requirements Essential Minimum 1+ years of experience working in Data Engineering. Proven experience with Databricks, SQL and python/pyspark. Experience working with DevOps or equivalent (git branching etc.) Proven experience working with custom metadata-driven frameworks. Proven experience with data modelling. Ability to create a 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 ❯

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 ❯

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 ❯

data related topics. Maintain data quality and client hierarchy within Salesforce in partnership with client onboarding teams. Requirements: Strong experience in data analysis and enterprise level data systems. Advanced SQL expertise with the ability to build complex queries and tables. Hands on experience managing ETL processes and working to tight project timelines. Strong knowledge of financial data, accounting principles and 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 ❯

software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience for data storage and processing, considerations made for alternate 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 ❯

Science, or equivalent work experience. Ability to understand complex data structures and apply advanced blending and refinement techniques, including big data and AI-assisted data preparation. Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit-learn, or similar) is preferred. Experience with visualization tools such as Tableau 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 ❯

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 ❯

Finance, Compliance, and Technology teams. Methodologies: Agile/Scrum experience preferred. Tools: Proficiency in JIRA, Confluence, and process modelling tools. Preferred Skills and Experience Technical Acumen: Basic understanding of SQL, data warehousing, and risk system architecture. Certifications: CFA, FRM, or other relevant risk/finance certifications. Project Management: Exposure to PM principles or certifications (e.g., PMP, Prince2). Data Visualization 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 ❯

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 ❯

technical specifications, reverse engineer existing systems to ensure alignment with best practices, and maintain comprehensive documentation. The ideal candidate possesses proven experience as a BI Engineer, strong proficiency in SQL, data warehousing concepts, and problem-solving skills, with any specific experience within the retail and general supply chain logistics sector being highly advantageous. Bonus skills include experience with Python, Azure 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 ❯

Build dynamic, insight-driven Power BI solutions 🔹 Design and optimise Snowflake data models and ingestion pipelines 🔹 Implement CI/CD practices in Azure Pipelines and Git 🔹 Work with Python, SQL, and modern ETL tools (DBT, Dataflow) 🔹 Champion data governance, data quality, and analytics self-serve It’s a brilliant opportunity for someone who loves solving complex data problems, enjoys autonomy More ❯

Maintain clear documentation and contribute to internal knowledge repositories Essential Skills Strong experience developing within Microsoft Azure and Microsoft Fabric: Proficiency in Spark programming including DataFrames, RDDs, and Spark SQL Python and PySpark development experience, including notebook-based workflows Hands-on experience with Spark streaming and batch processing Delta table optimisation and Fabric Spark job development Solid Java programming and 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 ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯