Data Engineer

• Design and develop scalable data ingestion pipelines
• Build automated data cleaning workflows
• Implement AI guardrails for data quality
• Collaborate with cross-functional teams

AI Engineer – Data Guardrails, LLM Ingestion Pipelines

• Developing and improving data ingestion and data product frameworks
• Designing and implementing scalable data governance and access control using Unity Catalog
• Acting as the go-to Databricks expert, supporting and coaching development teams
• Evaluating and introducing new Databricks capabilities to continuously improve the platform
• Contributing to a scalable, secure, and user-friendly platform for data, analytics, and AI

Senior Data Engineer – Databricks Champion

• Implement and optimize Profisee MDM models, workflows and data stewardship processes
• Expertly configure and customize Profisee components (Apps, Forms, etc.) to meet evolving business requirements
• Design, develop and maintain data integration solutions between Profisee and other solutions of Alfa Laval
• Ensure data quality, consistency, and governance across all integrated systems
• Develop and maintain ETL/ELT processes, APIs, and data synchronization routines
• Document data models, integration architectures, and operational procedures
• Collaborate with business and IT stakeholders to understand data requirements and translate them into scalable technical solutions
• Monitor, troubleshoot, and optimize data flows and integrations for performance and reliability
• Provide comprehensive support across all levels, from initial troubleshooting to advanced issue resolution, ensuring optimal system performance and user satisfaction

Data Engineer, Profisee

• Monitor and operate pipelines to ensure reliability, performance, and cost-efficiency
• Own security and backups across cloud accounts and environments
• Build and maintain data pipelines, run proof-of-concepts, evaluate new tools, and assist squads in solving issues
• Manage and maintain Databricks, ensuring workspace governance and infrastructure management
• Ensure data quality, metadata completeness, and adherence to privacy policies across the Data Mesh

Senior Data Engineer

• Develop, maintain, and enhance ETL solutions using Informatica PowerCenter in a large and complex environment
• Build and improve data integrations between legacy platforms, databases, and cloud-based services
• Work hands-on with SQL and data processing logic to support reliable and efficient data flows across multiple systems
• Collaborate closely with business stakeholders, developers, and operations teams to understand needs and turn them into robust integration solutions
• Contribute to stable production flows and support continuous improvements in data integration and operational reliability

Data Engineer – Informatica PowerCenter

• Own MySQL, MongoDB and related systems across development and production environments.
• Ensure database uptime, reliability, performance tuning, monitoring, scaling, backups and security.
• Manage schema changes, large-table operations, and data migrations with confidence and precision.
• Lead database upgrades and work with teams to refactor legacy structures into modern, scalable designs.
• Automate operational tasks to increase efficiency and reliability.
• Support real-time pipelines and data flows across teams.
• Support audits, change management and regulatory compliance.
• Manage access controls and release processes.
• Partner with developers, product owners, BI teams and QA to ensure high-quality, reliable data.
• Collaborate with the team and grow into broader engineering responsibilities over time.

Data Platform Administrator

• Utveckla och vidareutveckla moderna dataplattformar i molnbaserade miljöer
• Bygga och optimera data pipelines för insamling, transformation och lagring av data
• Delta i migrering och modernisering av befintliga datalösningar
• Implementera datamodeller och arkitekturprinciper för skalbara lösningar
• Säkerställa datakvalitet, prestanda och långsiktig förvaltning
• Samarbeta med utvecklare, analytiker, arkitekter och verksamhetsrepresentanter för att skapa affärsvärde genom data

• Utveckla och förvalta datalösningar i lakehouse-arkitektur
• Bygga och vidareutveckla data pipelines
• Säkerställa hög datakvalitet och affärsnytta

Data Engineer, BI-utvecklare

• Design, develop, and maintain data pipelines on the Databricks platform
• Build and optimize scalable data integration and transformation solutions
• Work directly with Databricks notebooks, jobs, clusters, and workflows
• Develop reliable and performant solutions for processing large volumes of data
• Implement modern data modeling approaches using dbt
• Ensure high standards for data quality, traceability, scalability, and performance
• Contribute to the architecture and evolution of the organization's Azure-based data platform
• Establish and improve engineering best practices

Senior Data Engineer – Databricks Platform, Azure

• Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
• Lead system-wide architectural decisions, focusing on data flow, performance, and resilience.
• Actively contribute to the codebase with high quality code.
• Lead major technical initiatives, reduce technical debt and ensure the platform meets the reliability and scalability SLAs.
• Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers

Principal Data Engineer

• Designa, utveckla och underhålla skalbara datapipelines
• Bygga och vidareutveckla moderna dataplattformar
• Säkerställa hög datakvalitet, säkerhet och förvaltningsbarhet
• Arbeta med Python, SQL och moderna dataverktyg
• Implementera lösningar inom Databricks, Microsoft Fabric, Apache Spark och liknande plattformar
• Omvandla verksamhetsbehov till robusta tekniska lösningar
• Delta i tekniska diskussioner kring arkitektur, kvalitet och långsiktighet
• Utforska och använda AI-verktyg för att effektivisera utvecklingsarbetet

• Utveckla och vidareutveckla datapipelines och ETL-flöden
• Arbeta med datamodellering och datahantering i Azure Cloud
• Delta i uppbyggnaden av en ny analysplattform baserad på medallion architecture
• Arbeta med Databricks, Delta Lake och Azure Data Factory
• Bidra i migrering från on-prem till molnbaserad Azure-miljö
• Samarbeta nära verksamheten och olika intressenter
• Dokumentera lösningar och bidra till kunskapsöverföring
• Delta i agila utvecklingsprocesser och arbete i Azure DevOps

Data Engineer jobs in Sweden

See all jobs on JobTailor

AI Engineer – Data Guardrails, LLM Ingestion Pipelines

Senior Data Engineer – Databricks Champion

Data Engineer, Profisee

Senior Data Engineer

Data Engineer – Informatica PowerCenter

Data Platform Administrator

Data Engineer

Data Engineer, BI-utvecklare

Senior Data Engineer – Databricks Platform, Azure

Principal Data Engineer

Data Engineer

Junior Data Engineer