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InVisions is seeking a Senior Data Engineer to own the delivery of data platforms from architecture through to production. You will work directly with customers to shape architectures and implement scalable ELT pipelines that support analytics, AI, and business decisions.
The role emphasizes deep Snowflake/Databricks experience and cloud proficiency, with remote work within Finland and strong collaboration with the customer team.
Your next role should give you room to use your experience: solve complex engineering problems, shape the architecture, and see your work make a difference.
Our client is a data infrastructure and analytics consultancy looking for a Senior Data Engineer who enjoys taking solutions from business need to production. You’ll work directly with customers, take ownership of technical delivery, and build data platforms that support analytics, AI, and everyday business decisions.
Right now, we’re particularly interested in engineers with deep Snowflake + dbt expertise or experience delivering enterprise-scale Databricks solutions.
Ownership from architecture to production. Design the solution, build it, and establish the practices that keep it reliable.
Engineering with a clear purpose. Work closely with customers to understand the problem and connect technical decisions to business value.
A broad technical landscape. Bring your expertise across Snowflake, dbt, Databricks, and cloud platforms, with a technology-agnostic approach to solving problems.
Learning built into the culture. Develop your skills through recurring training, learning sessions, and knowledge sharing with colleagues.
Remote work within Finland. Combine a fully remote setup with a collaborative team and close customer relationships.
You’ll design and deliver scalable data platforms, ELT pipelines, and data models for complex customer environments. Depending on the engagement, this could include:
Shaping lakehouse, Medallion, Data Mesh, or other suitable architectures.
Building dimensional models or Data Vault 2.0 solutions.
Implementing cloud infrastructure using Terraform or similar tools.
Establishing CI/CD, automated testing, observability, and data quality practices.
Helping customers turn business requirements into practical technical solutions.
Recognising opportunities to improve or extend a customer’s solution and helping shape the next engagement.
This is a hands-on role with responsibility for both the engineering and the customer outcome.
You have at least five years of relevant experience and a track record of delivering data solutions at scale. You can explain your architectural choices, work through complex problems, and take responsibility for delivery.
Your experience includes:
Strong hands-on expertise in Snowflake, Databricks, or Microsoft-based data platforms, ideally across more than one.
Deep understanding of modern data architecture patterns and when to apply them.
Designing and building large-scale ELT pipelines.
Strong data modeling skills.
Solid expertise in at least one cloud: Azure, AWS, or GCP.
Infrastructure as code using Terraform or similar tools.
DevOps and DataOps practices, including CI/CD, testing, observability, and data quality.
We’d also be interested in experience with data governance, lineage, metadata management, or security; streaming technologies such as Kafka, Spark Streaming, or Flink; and infrastructure supporting ML or GenAI, including feature stores, vector databases, and RAG architectures.
BI tools and semantic modeling—such as Power BI, Snowflake’s semantic layer, or Omni—are valuable additions too.
€5,400–€6,600 gross per month.
Full-time employment, fully remote within Finland.
An open, collaborative environment with close customer cooperation.
Recurring training, learning sessions, and opportunities to share expertise.
Social events and opportunities to connect with colleagues.
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