1,026 to 1,050 of 3,060 Remote/Hybrid SQL Jobs

platform are named, specified, and tracked — not just worked around QA coverage expands naturally with each deployment increment rather than lagging behind Technical Strong SQL skills — comfortable writing and reading complex analytical queries (window functions, CTEs, aggregations) to interrogate data and verify correctness Hands-on experience with Databricks — running queries … navigating Unity Catalog, reading Spark job outputs and understanding what they mean for data quality Working knowledge of PySpark or Spark SQL — enough to read pipeline code, understand transformations, and trace where data issues originate Understanding of Lakehouse/medallion architecture (bronze-silver-gold) and how data flows and changes ...

Essential 1-2 years AI engineering, software engineering or intelligent automation, including LLM or AI features that real users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output ...

Essential 1-2 years AI engineering, software engineering or intelligent automation, including LLM or AI features that real users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output ...

experienced Lead Data Engineer to join our growing Data Practice, working on a Financial Services engagement centred on a large, long‐lived SQL Server estate. You'll work as part of a multidisciplinary team helping a major FS client understand and de‐risk a database landscape that has grown, unchecked … over 15 years of trading activity. This is a role for someone who is comfortable going in without a map: a single SQL Server RDS instance holding around 1,100 tables and fifteen years of trade data, with no archiving strategy, no inventory of stored procedures, and tables duplicated across ...

with Product, Engineering, and Data teams.Extra awesomeExperience working in a B2B SaaS product company.Experience with orchestration tools such as Airflow or Argo Workflows.Familiarity with SQL, Spark, Snowflake, or other data processing technologies.Experience building systems that combine structured data, unstructured data, and generative AI.Experience with AI security, privacy, responsible AI, prompt ...

analysing results, and managing work items — treating AI-assisted tooling as a first-class part of your workflow rather than a novelty. Technical Strong SQL skills — comfortable writing and reading complex analytical queries (window functions, CTEs, aggregations) to interrogate data andverify correctness Hands-on experience with Databricks — running queries, navigatingUnity … Catalog, reading Spark job outputs and understanding what they Working knowledge of PySpark or Spark SQL — enough to read pipelinecode, understand transformations, and trace where data Understanding of Lakehouse/medallion architecture (bronze-silvergold) and how data flows and changes shape across layers Familiarity with YAML-based configuration ...

pipeline architecture, not just executing within one Familiarity with orchestration concepts: dependency management, event-driven triggers, scheduling, retry logic, and exception routing Strong SQL knowledge across one or more environments Genuine interest in how AI and LLMs can be embedded in data workflows — experience with API-based LLM integration ...

confidently articulate complex valuation mechanics to desk heads, traders, and senior risk managers. Desirable Skills Technical Skills: Hands-on experience with Python, VBA, or SQL for data analysis and automation. Languages: Fluency in a second language (French is highly desirable). SDLC Knowledge: Exposure to software development lifecycles or agile ...

validation and testing of data from a range of sources, working to agreed specifications, standards and change control processes. The role will involve using SQL and scripting or analytical languages such as Python or R to automate data processes, improve reliability and support the production of high-quality analytical outputs. … data, analytics, or digital systems. Experience Essential Experience of extracting, transforming, validating, and loading data from multiple sources using structured approaches. Practical experience using SQL and at least one scripting or analytical language (e.g. Python or R) to manipulate, validate, or analyse data. Experience of working to defined standards, procedures ...

Framework or comparable JVM backend frameworks; Pekko or Akka experience is highly relevant. Strong understanding of relational databases, especially MySQL, with practical knowledge of SQL optimization, indexes, query profiling, and transaction behaviour. Experience using Redis or similar technologies for caching, session handling, or performance-sensitive workloads. Deep understanding ...

containerised deployment on Kubernetes. You understand how production systems get shipped, monitored and scaled, not just written.Comfort with data at scale: SQL, and the trade-offs between different storage and search systems.Experience working with coding agents, and opinions about them, What responsible use looks like, where they earn their keep ...

engineers around you. Day to day you'll be: Designing and building robust backend services and APIs with C#/.NET Core Owning complex SQL work including schema design, performance tuning and data modelling Driving cloud infrastructure decisions and best practices, primarily on Azure Leading code reviews and championing engineering … with product and stakeholders to translate requirements into solid technical solutions Identifying and resolving technical debt, and advocating for long-term maintainability Must-have: SQL Cloud experience - Azure preferred, AWS or GCP also considered Nice to have: CI/CD pipelines, Docker, or Kubernetes Microservices or event-driven architecture experience ...

write and do reverse engineering of the code.Thorough knowledge of operating systems – Windows, Linux.Knowledge of Microsoft Azure is a plus.Database maintenance skills.Oracle RDBMS, SQL ServerBasics of Database AdministrationPrinciples of SQL Performance tuningHands-on experience with integration tools is a plusKnowledge of BY Platform and BYDM is a strong asset.Leadership skillsSupport ...

visibility. You’ll be responsible for: Gathering and shaping client requirements Building robust, well-structured data models using dbt Writing high-quality, performant SQL Delivering insights through BI tools Translating business questions into clear analytical outputs Managing stakeholders directly and owning delivery from start to finish This … have real input into how projects are delivered. What we’re looking for Strong experience as a Data Analyst or Analytics Engineer Advanced SQL skills and dbt experience Confidence working end to end, from requirements through to insights Strong business understanding, not just technical execution Experience working with customer, product ...

visibility. You’ll be responsible for: Gathering and shaping client requirements Building robust, well-structured data models using dbt Writing high-quality, performant SQL Delivering insights through BI tools Translating business questions into clear analytical outputs Managing stakeholders directly and owning delivery from start to finish This … have real input into how projects are delivered. What we’re looking for Strong experience as a Data Analyst or Analytics Engineer Advanced SQL skills and dbt experience Confidence working end to end, from requirements through to insights Strong business understanding, not just technical execution Experience working with customer, product ...

visibility. You’ll be responsible for: Gathering and shaping client requirements Building robust, well-structured data models using dbt Writing high-quality, performant SQL Delivering insights through BI tools Translating business questions into clear analytical outputs Managing stakeholders directly and owning delivery from start to finish This … have real input into how projects are delivered. What we’re looking for Strong experience as a Data Analyst or Analytics Engineer Advanced SQL skills and dbt experience Confidence working end to end, from requirements through to insights Strong business understanding, not just technical execution Experience working with customer, product ...

visibility. You’ll be responsible for: Gathering and shaping client requirements Building robust, well-structured data models using dbt Writing high-quality, performant SQL Delivering insights through BI tools Translating business questions into clear analytical outputs Managing stakeholders directly and owning delivery from start to finish This … have real input into how projects are delivered. What we’re looking for Strong experience as a Data Analyst or Analytics Engineer Advanced SQL skills and dbt experience Confidence working end to end, from requirements through to insights Strong business understanding, not just technical execution Experience working with customer, product ...

Storage preferred) Support PyTorch-based workflows, particularly around data loading and dataset management in the cloud Build and optimise data integrations with BigQuery and SQL databases Ensure efficient memory usage and performance when handling large datasets Collaborate with ML engineers to support training and experimentation pipelines (without owning model development … experience, ideally working with large numbers of files in cloud buckets Nice to Have Experience with additional GCP services, such as: Cloud Run Cloud SQL Cloud Scheduler Exposure to machine learning workflows (not ML engineering) Some pharma or life sciences experience, or a genuine interest in working with domain-specific ...

transformation on a large-scale Government project: In-depth Power BI expertise, including datasets, semantic models + data modelling. Experience of working with SQL based data sources. Ensuring Power BI models + reports are well-structured + aligned to upstream curated data sources. Analysing/maintaining Power BI datasets, semantic ...

integrate Cosmos DB into cloud-native and microservices-based solutions while maintaining strong performance, security and data standards. Key Skills Azure Cosmos DB, including SQL API and query optimisation C#, ASP.NET and .NET Core Cosmos DB SDKs and NoSQL data modelling Change Data Feed and Spark integration PySpark and Apache ...

looking for an experienced Lead Data Engineer to join our growing Data Practice, working on a FinancialServices engagement centred on a large, long-lived SQL Server estate. You'll work as part of a multidisciplinaryteam helping a major FS client understand and de-risk a database landscape that has grown … unchecked, over 15years of trading activity. This is a role for someone who is comfortable going in without a map: a single SQL Server RDS instance holding around 1,100 tables and fifteen years of trade data, with no archiving strategy, no inventory of stored procedures, and tables duplicated across ...

quality, completeness, and relevance of AI-produced outputs. Compare multiple AI-generated solutions and identify the strongest response based on technical merit. Evaluate Python, SQL, analytics, machine learning, statistical, and data engineering-related content. Provide clear written feedback and justification for evaluation decisions. Identify factual inaccuracies, logical errors, coding issues … intelligence, artificial intelligence, or related applied disciplines. Undergraduate study does not count toward the minimum experience requirement. Working proficiency in Python and/or SQL, with the ability to read, understand, and evaluate technical code. Availability to commit 30-40 hours per week throughout the full 12-week assignment. Strong ...

structured products. Strong technical proficiency in Microsoft Excel (including VBA) and familiarity with trade booking platforms and workflow systems; experience with Python or SQL for automation and data analysis is highly desirable. Solid understanding of the trade lifecycle, including booking, confirmation, settlement, and reconciliation processes across multiple asset classes ...

features, integrations and platform enhancements. Contribute to modernising development processes and platform architecture. Drive modernisation of development processes and platform architecture Work across SQL databases, backend services, reporting tools and Windows-based applications. Champion the adoption of AI-assisted development tools and workflows. Required Skills & Experience Strong commercial experience with … experience is essential, given the platform's existing codebase. Experience with C# is valued and will support the platform's ongoing modernisation. Strong Microsoft SQL Server skills, including query writing, stored procedures and database design. Experience developing commercial software applications in a professional environment. Ability to work both independently ...

optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support ...