2,276 to 2,300 of 8,618 Permanent SQL Jobs

analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics; AWS ML stack SageMaker (Pipelines, Feature Store, Endpoints) SQL — Advanced strongly preferred. ML pipeline experience. Pipelines feeding model training/inference — feature engineering, versioned datasets, reproducibility Git + CI/CD for data/ ...

expected to provide technical support for modelling produced for standard Outwards RI purchases.The role requires a strong statistical background with a good knowledge of SQL, Power BI, VBA, R/Python, whilst having good commercial understanding.Detailed knowledge about different reinsurance structures is essential, especially non-traditional structures (ILS) as well ...

analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics; AWS ML stack SageMaker (Pipelines, Feature Store, Endpoints) SQL — Advanced strongly preferred. ML pipeline experience. Pipelines feeding model training/inference — feature engineering, versioned datasets, reproducibility Git + CI/CD for data/ ...

analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics; AWS ML stack SageMaker (Pipelines, Feature Store, Endpoints) SQL — Advanced strongly preferred. ML pipeline experience. Pipelines feeding model training/inference — feature engineering, versioned datasets, reproducibility Git + CI/CD for data/ ...

sharp instinct for spotting automation opportunities. Previous experience in a database-centric, web-enabled environment. Ability to perform database tuning working with SQL queries, indexes, statistics, database views. Understanding of database replication. Understanding of web services and extension kit flows. Experience of Java based application and Java containers (JBOSS, Wildfly ...

client onboarding, vendor integrations, and managed service engagements by providing technical specifications and solution architecture for data flows. Technical proficiency in tools such as SQL, Python, ETL platforms, API gateways, Snowflake, Databricks, and metadata management platforms. To be successful in this role, were seeking the following: Bachelors degree ...

advanced features like dynamic data masking, row-level security, data backups, and ELT tools. Strong Python skills for data engineering, scripting, and automation. Strong SQL performance, with a solid understanding of data warehousing concepts. Demonstrated experience with GitHub, CI/CD, and collaborative development. Strong stakeholder management and communication skills ...

Modern Tech StackYou’ll work across a broad set of technologies as we evolve the platform. Experience is helpful, but not essential:Languages: Python, SQL, Terragrunt, JavaScriptCloud: AWS (primary), some GCPWarehouse & Storage: Snowflake, S3/ParquetData & ETL: dbt, FivetranPlatform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp VaultObservability: Datadog, GrafanaDashboarding ...

experience as well as an understanding of operational finance Power user of Tableau Advanced Excel skills and very strong financial modeling and valuation skills; SQL, Power BI are highly desirable Strong quantitative and organisational skills Outstanding oral and written communication skills Ability to work collaboratively in a team‐oriented environment ...

with Cloud data warehousing technologies, in particular with BigQuery optimisation and FinOpsExperience working with modern cloud-based stacks such as AWS, Azure or GCPExcellent SQL skillsStrong programming skills with at least one of Python, Java, Scala or C#You’re a mentor, raising the bar for your colleagues.You’re a collaborator ...

continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. ...

with object‐oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings. Very strong knowledge of the Financial Services domain with emphasis on institutional businesses including Trading Middle Office, Prime ...

Compute, Networking, Security, Data) Strong hands-on experience with Kubernetes, Docker, and container orchestration Expertise in Infrastructure as Code (Terraform) and scripting (PowerShell, Bash, SQL, KQL) Proven delivery of CI/CD pipelines (Azure DevOps YAML essential) Experience implementing security tooling (SAST, DAST, container scanning, WAF) Strong knowledge of cloud ...

foundations around reliability, cost, and security. OUR MODERN TE OUR MODERN TE Our Modern Tech Stack: Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions ...

raise the bar for data best practice at the companyRequired7+ years in a data role (Analytics Eng and/or Data Science)Strong SQL skills, and comfortable working with large, complex datasets in dbtStrong communication and stakeholder management skillsHands-on experience with cloud tech (e.g. AWS, GCP or Azure ...

with object-oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings. Very strong knowledge of the Financial Services domain with emphasis on institutional businesses including Trading Middle Office, Prime ...

financial controls.Data Analytics & BI Skills: Proficiency in working with large, complex datasets is essential. Experience with data analytics tools is highly advantageous, particularly:SQL for data querying and manipulation.Python (especially libraries like Pandas) for data analysis.Business Intelligence packages such as Looker or Power BI for visualisation and reporting.Proven Transformation Experience ...

business environment. Experience with process automation, workflow optimisation, or digital transformation initiatives. Working knowledge of programming or scripting languages such as Python, SQL, VBA, PowerShell, or similar. Experience in treasury operations, cash management, or corporate finance. Understanding of FX operations, cash management, and banking processes. Strong analytical, problem-solving ...

Profound), competitive benchmarking tools (e.g. SEMrush), or market-sizing sources (e.g. IBISWorld).GA4 and BI tools such as Power BI or Looker Studio, and SQL for competitive and visibility analysis.Comfortable using AI tools such as Claude or ChatGPT to speed up research, synthesis and content.Experience managing knowledge and content ...

need:Hands-on data engineering experience, including design and delivery of complex pipelines and data models in a cloud environment Strong proficiency in SQL; solid Python and/or PySpark capabilityDemonstrable experience with Databricks, Apache Spark, and Delta Lake architectureProven ability to design and own enterprise-grade canonical data models ...

/or consulting role.Archetype: We seek high proficiency in either commercial finance or commercial analytics.Education: MBA or relevant master’s degree preferred.Technical requirement: SQL, Power BI/Tableau, and AI agents knowledge is essential. Experience with Python or n8n/workflow automation is highly valued.Mindset: An "accountability" mindset - you value ...

public cloud technologies. Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event‐driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. ...

forefront of innovation. What We’re Looking For Strong experience as an Analyst in a big data or complex operational environment. Expertise in SQL and familiarity with Excel, VBA, Python, R, or similar languages. Exposure to dbt or modern data transformation frameworks highly desirable. Proven ability to solve quantitative ...

medium report requirements and direct interaction with client sponsorship. A Business Analyst is not expected to implement complex technical solutions into deliverables (i.e. PowerBI, SQL, Access, etc.), but may be partnered with a Technical resource to implement such solutions into key deliverables. Identify areas for process improvement ...

Data Platforms (CDPs) and Business Intelligence/dashboarding tools (Tableau, Power BI, Looker or similar)• Familiarity with data warehousing concepts and AI-enabled analytics• SQL and data querying experience preferredWHY ACCELERATION PARTNERS Acceleration Partners is the world’s largest and first-to-market Partnership and Marketing Agency creating and nurturing ...