Data Curator (Ontologist)

IT-bemanning Sverige AB

IT-bemanning är ett Stockholmsbaserat IT-konsultföretag, specialiserat på att leverera kvalitativ kompetens inom området IT-support, IT-drift samt IT-rekrytering. Vi är ett personligt IT-konsultföretag som värdesätter den enskilda konsultens egenskaper. Har du de rätta egenskaperna - social, driven och tävlingsinriktad så kan vi ge dig de rätta förutsättningarna för ett roligt, stimulerande och utvecklande arbete som konsult hos någon av våra kunder. IT-bemanning är ett dotterföretag till IT-konsultföretaget Xperta AB och som är specialiserade inom området IT-infrastruktur. Om uppdraget Become part of the Flexibility (VPP) team, which builds a state-of-the-art virtual power plant solution based on pooling fl exible residential DERs (e.g. batteries and EVs). By utilizing accurate forecasts and intelligent control, this solution unlocks the direct market participation of household DERs in a robust way. This service, which employs both deterministic steering and data-driven forecasting algorithms, is continually being enhanced and scaled to keep pace with the ever-increasing number of customers using this service. The Flexibility team is looking forward to growing together with you and bringing this feature to many more customers. Experience & Mindset ● Production-Grade Track Record: You have hands-on experience working on real-world projects with a proven history of delivering robust data solutions into production. ● Focus on Stabilization: You take full ownership of system reliability, actively monitoring and stabilizing workfl ows to ensure continuous, high-quality operations. ● Time-Series Expertise: You are comfortable working with large-scale time-series data and deeply understand the unique structural and processing challenges it presents. Technical Skills & Core Stack ● Programming & Data Wrangling: You have solid experience writing clean, maintainable code for complex data manipulation and transformation tasks. While our forecasting ecosystem relies on Python, Polars, and Pandas, at gridX, our main programming language is Go. Strong profi ciency in equivalent languages or data wrangling frameworks is highly welcome. ● Database Mastery: You command strong SQL skills. We rely heavily on ClickHouse—experience here is a highly valued asset. ● Cloud & Infrastructure: You have practical experience provisioning and managing scalable infrastructure using AWS, Kubernetes, and Terraform. MLOps & Orchestration ● Workfl ow Management: You are experienced in building and orchestrating complex data pipelines and ML workfl ows. We utilize Metafl ow, Argo, and MLfl ow, but practical experience with any comparable orchestration and model lifecycle tools is fully transferable. ● Rigorous Validation: You thoroughly test, validate, and benchmark models and data products prior to deploying them into live environments. ● Observability: You maintain clear visibility over production systems and possess practical experience setting up metrics and alerting dashboards using Grafana.   Välkommen med din ansökan!

Kraftsam Rekrytering & Bemanning AB

Har du några års erfarenhet som Data Engineer och vill arbeta med moderna dataplattformar hos ett specialistbolag inom data? Då kan detta vara nästa steg för dig. Om företaget Bricobomba AB är ett konsultbolag med djup kompetens inom data och analytics. De arbetar med hela datakedjan – från infrastruktur och dataplattformar till analys, rapportering och maskininlärning och hjälper sina kunder att skapa verkligt affärsvärde med data. Om tjänsten Som Data Engineer hos Bricobomba kommer du att arbeta med design, utveckling och förvaltning av dataplattformar och datalösningar hos deras kunder. Du blir en viktig del i att bygga stabila och skalbara lösningar som möjliggör analys, rapportering och avancerad dataanvändning. I rollen som Data Engineer kommer du bland annat att arbeta med: Utveckling och underhåll av dataplattformar i Azure Bygga och optimera ELT-pipelines för insamling och transformering av data Arbeta med data warehouse/lakehouse-lösningar såsom Snowflake, Databricks, Synapse/Fabric och dbt Datamodellering enligt stjärnmodellering och/eller medallion-arkitektur Automatisering och deployment via Azure DevOps, CI/CD-pipelines Infrastruktur som kod med Terraform, Bicep eller ARM Utveckling i Python (Spark/Scala) och SQL Integrationer via API:er Versionshantering i Git Vi söker dig som  har minst 3 års erfarenhet som Data Engineer eller liknande roll Har god erfarenhet av Azure-miljön och-/eller AWS/GCP Är van av att arbeta med moderna dataplattformar och datamodellering Har goda kunskaper i Python och SQL Har erfarenhet av CI/CD, Git och automatiserade deploymentflöden Har förståelse för hela datakedjan – från datakälla till konsumtion Som person är du kommunikativ, ödmjuk och pragmatisk. Du trivs i konsultrollen och har lätt för att samarbeta med både kollegor och kunder. ÖVRIGT: Anställningen är på heltid med en inledande provanställning på sex månader. Lön och tillträde sker enligt överenskommelse. Tjänsten är placerad i Stockholm. I denna rekrytering samarbetar Bricobomba med Kraftsam Rekrytering och Bemanning. Externa rekryteringsbolag och säljare undanbedes vänligen men bestämt. Har du frågor om tjänsten, vänligen kontakta ansvarig rekryterare Kristina Maksimovic på kristina@kraftsam.se Vi ser fram emot din ansökan!

Avaron AB

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will take a central role in building and evolving modern data products in a cloud-first environment on Google Cloud Platform. The focus is on creating reliable, scalable, and well-governed data pipelines that support changing business needs while aligning with a clear target vision. In this role, you will work close to product and domain teams in a data mesh context, where data sharing, independent deployment, and strong engineering standards are key. You will help shape how data products are built, operated, and improved over time, with attention to security, observability, performance, and maintainability. This is a great opportunity for you if you want to combine hands-on data engineering with influence over ways of working, cloud infrastructure, and long-term technical direction on GCP. Job DescriptionYou will take end-to-end responsibility for building, optimizing, and supporting both existing and new data pipelines on GCP. You will drive a DevOps-oriented way of working and manage CI/CD pipelines, Terraform, and cloud infrastructure. You will design data products as independent deployment units and ensure they follow defined standards for security, scalability, observability, and performance. You will work closely with the Product Manager and key stakeholders to shape the vision for data products and identify new opportunities that support evolving business needs. You will collaborate with product teams across domains to enable data sharing and integration in a data mesh setup. You will contribute to continuous improvement of data engineering practices and help reduce technical debt. You will stay current within data engineering, analytics, and cloud technologies and bring that knowledge into the team. RequirementsExperience building, optimizing, and supporting data pipelines in Google Cloud Platform. Hands-on experience with CI/CD, Terraform, and cloud infrastructure, primarily on GCP. Ability to work with a DevOps mindset and apply modern engineering principles in daily work. Experience designing data products with a strong focus on security, scalability, observability, and performance. Experience collaborating with Product Managers, stakeholders, and cross-functional product teams. Ability to work in a data mesh context and support data sharing and integration across domains. Cloud certification. Nice to haveExperience with GCP services such as Cloud Run. Exposure to large-scale data processing and orchestration frameworks such as Spark, Beam, or Hive. Experience working with data formats such as Avro, Parquet, Iceberg, or Hudi. Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders. GCP Data Engineer certification. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.