1 to 25 of 36 Snowflake Jobs in Central London

bring... Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

and mutual respect; accepting differences and treating everyone fairly. The ability to think outside of the immediate task and constantly look at ways of improving processes. Desirable Experience with Snowflake, Azure, AWS Experience with GA4, Search Console and Meta data sets Experience with property management software MRI Qube, Yardi or similar. Experience with complex databases Experience in system support, monitoring More ❯

Senior Data Engineer MUST HAVE SNOWFLAKE, AWS, SNOWPRO CORE Salary - £70-80k with 15% bonus Hybrid working - couple of days in the office City of London We are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets SnowPro core certification. AWS Skillset Delivery experience Building solutions in … snowflake Insurance experience - advantageous but not necessary MUST HAVE SNOWFLAKE, AWS, SNOWPRO CORE Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services … architecture, ensuring optimal health and efficiency. Skills and Experience: Bachelor's degree or higher in a technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and More ❯

x Contract Data Engineers - Snowflake/AWS/Python/Airflow/Iceberg Location: London (Hybrid - 3 days per week onsite) Duration: 6 months Day Rate: £550 - £600 (Inside IR35) A highly reputable consultancy is seeking 2 x Contract Data Engineers to join their data team on a 6-month engagement. You will play a key role in building and … optimising data pipelines, supporting modern data platform architecture, and enabling advanced analytics and reporting capabilities. Key Skills & Experience: Strong experience with Snowflake data warehousing Solid AWS cloud engineering experience Proficient in Python for data engineering workflows Skilled in building and maintaining Airflow DAGs Familiarity with Apache Iceberg for table format and data lake optimisation If this could be of interest More ❯

BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data More ❯

skills Good working knowledge of SQL Comfortable using Git for version control Desirables: Exposure to workflow orchestration tools (e.g. Prefect, Airflow, Dagster) Experience with cloud data warehouses (Azure SQL, Snowflake) or dbt Basic familiarity with Docker and BI tools (Power BI, Tableau) Interest in shipping, financial markets, or commodities Package: £35-40,000 basic salary + bonus Excellent career progression More ❯

data-informed decisions A bit about you: Solid experience in at least three of the key responsibility areas above Hands-on with tools like SQL, Python/R, BigQuery, Snowflake or similar Proficient in BI tools like Looker, Tableau or Power BI Excellent communication and stakeholder management skills Deep understanding of marketing data infrastructure and data collection best practices Degree More ❯

to join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business … experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities … z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth More ❯

You Bring: 5+ years of experience in data analytics or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or More ❯

effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with access to cutting-edge More ❯

role. Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies More ❯

You Bring: 5+ years of experience in data analytics or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Hands-on experience with data migration and integration across ERP platforms Essential Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical More ❯

technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data More ❯

of data engineering principles and best practices, including data modelling, observable ETL/ELT processes, data warehousing and data governance You have experience with AWS and tools such as Snowflake You're collaborative and pragmatic with excellent communication skills What's in it for you: As a Principal Data Engineer you will earn a competitive package including: Salary to £105k More ❯

and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so More ❯

and written communication skills, including the ability to present complex ideas clearly. You’ll stand out if you’ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such as Apteco Reporting tools like Tableau and Power More ❯

or quant roles within financial services, asset or wealth management. Strong grasp of data infrastructure, modelling, and financial datasets (e.g. Morningstar, Bloomberg, Datastream). Proficiency in Power BI, Alteryx, Snowflake , and advanced Excel. Coding in Python, R, and SQL is highly desirable. Understanding of ESG, performance, risk, and liquidity data. Excellent communication skills, with the ability to present complex findings More ❯

strong foundation in Data Engineering and experience managing a squad of 47 Data Engineers. Youll bring solid SQL skills, cloud expertise (preferably Azure), and familiarity with tools such as Snowflake, Databricks, ADF, Python, and GenAI. Youll manage a squad of engineers and play a key role in delivering scalable, modern data solutions as part of a group-wide transformation. Requirements … modern data architectures and tooling; Financial Services experience is a plus. Experience managing Data Engineering teams Strong SQL and cloud skills (Azure preferred) Familiar with modern data tools (e.g. Snowflake, Databricks, ADF, Python) Track record of building/maintaining robust data pipelines Agile experience Financial Services experience is a bonus If you are an experienced Data Engineering Manager with the More ❯

a strategic, hands-on role where data drives every decision. Own the full data lifecycle. You’ll ingest, stage, and transform raw data (including CRA & Open Banking) into structured Snowflake tables. Build and improve BI suites. Create self-service dashboards and models that support teams across credit, marketing, and digital. Define KPIs and shape strategy. Translate high-level business problems … the data stack as the business scales. What You'll Bring: Solid SQL and a strong understanding of data principles Experience with ETL pipelines, ideally in a cloud environment (Snowflake preferred, but not required) Ability to build strategic BI reporting tools and communicate insights to non-technical stakeholders Familiarity with CRA data, Open Banking, or financial services data A proactive More ❯

We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

CRM journey logic Exceptional time management skills and the ability to juggle multiple priorities Youll stand out if youve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such as Apteco Reporting tools like Tableau and Power More ❯

businesses Experience working with franchisees or external partners on performance management. Proficiency in data visualization tools (Power BI, Tableau, or similar). Familiarity with data storage and integration platforms (Snowflake, APIs, ETL processes). Understanding of POS systems and financial reporting. Strong stakeholder management and communication skills. Ability to work cross-functionally with IT, operations, and franchise partners. Problem-solving More ❯

Lead Snowflake Architect Location: London (Hybrid – 1–2 days per week in office) Salary: £120,000 – £140,000 + excellent benefits Type: Permanent, Full-Time Uneek is partnered with a leading organisation to hire a Lead Snowflake Architect for a high-impact strategic role. This is an exciting opportunity to take ownership of the Snowflake platform and lead the design … building scalable solutions, and leading the development of data assets and capability – working closely with senior stakeholders across the business. What you’ll be doing: Own and evolve the Snowflake strategy Define architecture standards and best practices Build or direct development of reusable data assets Support cloud migration and platform modernisation Lead across Azure and AWS data environments Collaborate with … senior business stakeholders What we’re looking for: 10+ years in data engineering/architecture Deep expertise in Snowflake (all areas) Strong grasp of modern data platforms Knowledge of both Azure and AWS Proven leadership and team development Excellent stakeholder management skills More ❯

Job Description AWS Stack, data being landed in S3, Lambda triggers, Data Quality, data written back out to AWS S3(Parquet Formats), Snowflake for dimensional model. Design and build the data pipelines, work with someone around understanding data transformation, this is supported by BA's, building out the data pipelines, moving into layers in the data architecture (Medallion architecture). … Requirements 5 plus year's experience with AWS 5-8 years overall exposure to Data Technical Lead experience Proficient in Snowflake, S3, Lambda Triggers Hybrid London 1-2 days a week £(Apply online only) (Outside IR35) The reason they're hiring now, they have a client that is all on a legacy system, on-prem platform, and they want to More ❯