76 to 100 of 953 Snowflake Jobs

As a Data Engineering Specialist, you'll play a vital role in transforming how the business uses data. You'll lead critical migration projects, work with modern tooling like Snowflake, and help architect scalable, future-proof data solutions. You'll also collaborate with business stakeholders, mentor colleagues, and drive improvements in data quality across the board - all while building slick … data migration and integration tasks, ensuring quality and alignment across systems. Design, implement, and optimise ETL processes to streamline data movement from diverse sources. Build and enhance a robust Snowflake data warehouse to support evolving reporting needs. Troubleshoot and resolve data quality issues, supporting business users with self-service access. Develop Python-based automation tools and scalable pipelines. Conduct data … Proven experience across the full data lifecycle - from ingestion and transformation to validation and analysis. Strong Python skills and confidence building automation for large-scale data tasks. Hands-on Snowflake and Azure experience. Deep understanding of ETL/ELT pipelines and data governance standards. A solid grasp of financial data or lending domain knowledge is highly desirable. A passion for More ❯

Data Engineer – Investment Banking – London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to … across several teams to join their new and growing IT team! They are looking for an experienced Lead Data Engineer with expert level Java/Python, as well as Snowflake/Databricks to join an exceptional core engineering team and deliver features across their Data Engineering platform. We are seeking a Data Engineer who has advanced working knowledge of Snowflake More ❯

Data Engineer – Investment Banking – London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to … across several teams to join their new and growing IT team! They are looking for an experienced Lead Data Engineer with expert level Java/Python, as well as Snowflake/Databricks to join an exceptional core engineering team and deliver features across their Data Engineering platform. We are seeking a Data Engineer who has advanced working knowledge of Snowflake More ❯

growing data team and lead the design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models … and pipelines in Snowflake and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality, lineage, and observability initiatives. … cost-efficiency, and system reliability. Required Skills & Experience: Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms. Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing. Proficiency in SQL for complex querying, optimization, and stored procedures. Strong coding skills in Python for data transformation, scripting, and automation. More ❯

growing data team and lead the design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models … and pipelines in Snowflake and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality, lineage, and observability initiatives. … cost-efficiency, and system reliability. Required Skills & Experience: Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms. Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing. Proficiency in SQL for complex querying, optimization, and stored procedures. Strong coding skills in Python for data transformation, scripting, and automation. More ❯

Freelance Senior Data Engineer - Renewable Energy Sector (Snowflake & AWS) Arnhem (2-3 days/week on-site) ️ Contract until early 2026 Senior Level Via Protiviti Join the energy transition. Build data systems that power sustainability. Protiviti is actively seeking a Senior Freelance Data Engineer to support a high-impact client project in the renewable energy sector . This is a … with a hybrid work setup requiring 2 to 3 days per week on-site in Arnhem . The project involves designing and optimizing data pipelines and infrastructure in a Snowflake and AWS environment, enabling the client to unlock insights that will drive their transition toward cleaner, more efficient energy solutions. As a key member of the data engineering team, you … to a mission-driven industry . Your Responsibilities Will Include: Designing, building, and scaling robust data pipelines for structured and unstructured data Implementing and maintaining data warehousing solutions with Snowflake Leveraging AWS services (e.g., S3, Lambda, Glue, Redshift) to build cloud-native data architectures Ensuring data quality, governance, and security throughout the data lifecycle Collaborating with internal teams, data scientists More ❯

Data Engineer - Python, SQL, DBT, DWH, Airflow, Kafka, Snowflake - Challenger Digital Bank Location: London (Hybrid, 2 days per week in office) Type: Permanent Salary: Competitive + 20% bonus + excellent benefits Are you a Data Engineer ready to shape the future of a digital-first banking experience? Join a fast-growing start-up challenger bank where data is at the … and enable insight-led growth from the ground up. What you will be doing: Build and optimise robust data pipelines using Python , Kafka , Airflow , and DBT Design and manage Snowflake data warehouse objects to support scalable analytics Write clean and efficient SQL to support reporting, dashboards and data products Collaborate across engineering, analytics and product teams to enable data-driven … analytics innovation projects What we are looking for: Strong hands-on experience with Python in a data context Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid More ❯

Data Engineer - Python, SQL, DBT, DWH, Airflow, Kafka, Snowflake - Challenger Digital Bank Location: London (Hybrid, 2 days per week in office) Type: Permanent Salary: Competitive + 20% bonus + excellent benefits Are you a Data Engineer ready to shape the future of a digital-first banking experience? Join a fast-growing start-up challenger bank where data is at the … and enable insight-led growth from the ground up. What you will be doing: Build and optimise robust data pipelines using Python , Kafka , Airflow , and DBT Design and manage Snowflake data warehouse objects to support scalable analytics Write clean and efficient SQL to support reporting, dashboards and data products Collaborate across engineering, analytics and product teams to enable data-driven … analytics innovation projects What we are looking for: Strong hands-on experience with Python in a data context Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid More ❯

to expand their data engineering practice this year. They are now on the look out for an experienced Senior Data Engineer to join the team, bringing technical expertise in Snowflake, AWS, DBT, and Terraform. Salary and Benefits Competitive salary of up to £100k Up to 10% Bonus Up to 14% Pensions Contribution Hybrid working from London office (2 in office … Duties will include product-based work as well as migration tasks Due to your seniority you will also be tasked with mentoring junior engineers Work extensively and proficiently with Snowflake, AWS, DBT, Terraform, Airflow, SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data More ❯

to expand their data engineering practice this year. They are now on the look out for an experienced Senior Data Engineer to join the team, bringing technical expertise in Snowflake, AWS, DBT, and Terraform. Salary and Benefits Competitive salary of up to £100k Up to 10% Bonus Up to 14% Pensions Contribution Hybrid working from London office (2 in office … Duties will include product-based work as well as migration tasks Due to your seniority you will also be tasked with mentoring junior engineers Work extensively and proficiently with Snowflake, AWS, DBT, Terraform, Airflow, SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data More ❯

to expand their data engineering practice this year. They are now on the look out for an experienced Senior Data Engineer to join the team, bringing technical expertise in Snowflake, AWS, DBT, and Terraform. Salary and Benefits Competitive salary of up to £100k Up to 10% Bonus Up to 14% Pensions Contribution Hybrid working from London office (2 in office … Duties will include product-based work as well as migration tasks Due to your seniority you will also be tasked with mentoring junior engineers Work extensively and proficiently with Snowflake, AWS, DBT, Terraform, Airflow, SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data More ❯

The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate … and/or working with Quant Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing More ❯

The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate … and/or working with Quant Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing More ❯

diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. ROLE PROFILE : We are looking for a versatile and passionate Snowflake/Python Developer to join the SwapAgent Reporting development team, part of the SwapAgent Technology function supporting LSEG's Post Trade Solutions business. The team is responsible for the designing … building, and supporting critical reporting service and systems that facilitate the SwapAgent Business operations. This Snowflake/Python Developer role will focus on designing, building and maintaining data pipelines and related systems that are critical to the service. You will be assigned to a pod team and work multi-functionally within an Agile environment to ensure the smooth execution of … the development Team Lead while actively contributing to the delivery of high-quality solutions. The successful candidate needs to be hands-on, with a strong and deep understanding of Snowflake and python plus the knowledge of various databases and AWS cloud development. You need to be proactive and able to work independently and take ownership. You will also be encouraged More ❯

with Security and Compliance teams to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards. Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI). Oversee data integration strategy across the enterprise-including ETL/ELT pipelines, APIs, and event-driven data streaming. Contribute to the development … dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance … complex data concepts into business-friendly language. Ability to lead technical discussions and influence data-driven decision making across teams. Certifications such as Microsoft Certified: Azure Data Engineer Associate , Snowflake Architect , or CDMP are highly desirable. Why join us? We're on a journey to become market leaders in our space - and with that comes some incredible opportunities. Collaborate and More ❯

and architectural direction across entire programmes and client estates. Key Responsibilities Senior Data Architects: Lead the design and delivery of cloud-native data solutions using modern platforms (e.g. Databricks, Snowflake, Kafka, Confluent) Architect data lakes, lakehouses, streaming pipelines, and event-driven architectures Oversee engineering teams and collaborate with analysts and QA functions Translate complex requirements into scalable, robust data products … Proven track record in data architecture , either from a delivery or enterprise strategy perspective Deep experience with cloud platforms (Azure, AWS, GCP) and modern data ecosystems (Spark, Databricks, Kafka, Snowflake) Strong understanding of Data Mesh , Data Fabric , and data product-led approaches Data modelling expertise (relational, dimensional) and familiarity with tools like Erwin , Sparx , Archi Experience with ETL/ELT More ❯

and architectural direction across entire programmes and client estates. Key Responsibilities Senior Data Architects: Lead the design and delivery of cloud-native data solutions using modern platforms (e.g. Databricks, Snowflake, Kafka, Confluent) Architect data lakes, lakehouses, streaming pipelines, and event-driven architectures Oversee engineering teams and collaborate with analysts and QA functions Translate complex requirements into scalable, robust data products … Proven track record in data architecture , either from a delivery or enterprise strategy perspective Deep experience with cloud platforms (Azure, AWS, GCP) and modern data ecosystems (Spark, Databricks, Kafka, Snowflake) Strong understanding of Data Mesh , Data Fabric , and data product-led approaches Data modelling expertise (relational, dimensional) and familiarity with tools like Erwin , Sparx , Archi Experience with ETL/ELT More ❯

technical audiences, tailoring communication style based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or Master's degree in Computer … Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively communicate technical concepts; experience gathering requirements, creating technical documentation, and … R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in More ❯

stakeholders • Partner with engineering teams to develop scalable business processes and data pipelines to support our clients • Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python • Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum of 4 years of experience in Business Intelligence, Data Engineering … Graduate or Undergraduate degree in Computer Science, Statistics, Math, or Engineering • Experience in financial services, operations fields • Experience in gathering and documenting requirements with full testing traceability • Experience in Snowflake, Databricks, Legend Studio platforms • Data governance and modelling experience ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities More ❯

Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits: Join a More ❯

Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits: Join a More ❯

Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits: Join a More ❯

ML) Tool selection, cost management and team management Experience required: Experience in building and scaling BI and Data Architecture Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI etc Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow Experienced in Cloud based solutions (Azure, AWS or Google More ❯

Azure services , leveraging PySpark, Python, and Databricks . The platform development is based on Python and Terraform. Furthermore you will work with SQL related technologies like Google BigQuery or Snowflake and dimensional data models , to support advanced analytics and reporting capabilities . Design, programming, unit-testing ( Pytest ), quality assurance and documentation Design and implement data models using industry-standard tools More ❯

Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯