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Principal Data Engineer, Snowflake - Contract
Insight InvestmentCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Snowflake and data platform design, focusing on robust data ingestion, transformation, and governance. Proficient in Agile methodologies and committed to aligning technical solutions with compliance and security standards.
Highest-signal resume keywords
SnowflakePythonSQLCI/CD PipelinesAgile Methodologies
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Contribute to the solution design and implementation of a robust and scalable data platform using Snowflake and complementary tooling
- Help evolve the Insight Data Strategy and communicate outcomes from leadership through to team level
- Set firm-wide standards and conventions for ingesting, governing, transforming, persisting, and democratising data
- Provide expertise in ELT pipeline performance optimisation
- Enable adoption of advanced analytics and AI by configuring best-in-class tooling
- Evolve infrastructure-as-code usage in collaboration with cloud engineering
- Align technical designs with internal data, privacy, security, and compliance policies
- Stay abreast of industry trends and emerging technologies related to Snowflake and big data processing, recommending relevant advancements
- Work as part of the Data Platform team using Agile methods to deliver cloud-platform solutions
- Work closely with a variety of business areas and participate in all aspects of the Secure System Development Lifecycle (S-SDLC)
Requirements
What you’ll need- Snowflake (Warehouses, Tasks/Streams, Snowpipe, Snowpark, Distributed UDF/Sproc, Time Travel, Cloning)
- Demonstratable experience of delivering end to end pipelines in Snowpark; transferable frameworks such as Pyspark, Polars or Dask are also welcome
- DBT including Jinja templating or equivalent transformation frameworks
- Python including build tools, test automation frameworks and engineering best practices
- SQL, including Snowflake-optimised SQL
- Experience with CI/CD pipelines, including GitHub Actions, TeamCity, or Artifactory
- Demonstrate initiative and independence to solve problems
- Ability to communicate abstract or complex ideas or solutions effectively
- Stand by software engineering principles around quality and doing things the right way
- Experience working in and with Agile teams performing iterative development
- Ability to collaborate with end users, stakeholders, teams, and team members
- Desire to improve knowledge and drive adoption of new technology or approaches within teams
- Own mistakes and work with colleagues to redress them, learn from them, and make improvements for the long term
- Docker
- Java / Scala
- Event streaming technologies such as Kafka, Pulsar, or Azure Event Hub
- Integration with Collibra
- Apache Iceberg
- Apache Arrow
- Pyspark
- AI engineering, including Snowflake AI, Langchain, Llamaindex, or Pinecone
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Snowflake WarehousesDBTPysparkEvent Streaming TechnologiesApache IcebergApache ArrowData Pipeline DevelopmentData GovernanceData TransformationAI Engineering
Soft Skills
Problem SolvingEffective CommunicationCollaborationInitiativeLearning Agility
Tools & Technologies
DockerGitHub ActionsTeamCityArtifactoryCollibra
Industry Keywords
Data StrategyInfrastructure-as-CodeSecure System Development LifecycleBig Data ProcessingData Privacy