Data Product & Platform Operations Engineer

Jobtailor; Malmö kommun; On-site; SEK 700,000 - 900,000; Full time

Benefits offered by this job

Permanent employment

Occupational pension

Wellness allowance SEK 5,000/year

Job summary

Avaron AB is seeking a senior data engineer to strengthen a self-service data platform in a large retail environment. You will design and operate data products across Bronze to Gold layers within a Microsoft Fabric ecosystem, supporting governance, quality, and scalable delivery.

You will collaborate with cross-functional teams to implement reusable patterns, notebooks, pipelines, and cost-aware operations in a modern data stack. Excellent English communication is essential.

Qualifications

• Strong hands-on data engineering using PySpark or Spark, SQL, Python and pipelines.
• Hands-on experience with Microsoft Fabric, or Databricks/Synapse with Fabric path.
• Experience building reusable pipelines and data products with templates.
• Governance experience: data quality, metadata, catalog tooling, and docs.
• Experience with monitoring, operational reporting, and platform support.
• Strong scripting and automation capabilities.
• Ability to document across technical and governance stakeholders.
• Approximately five years of relevant data engineering experience with governance exposure.

Responsibilities

• You will build and operate data products in Microsoft Fabric, from ingestion to consumption-ready layers.
• You will develop end-to-end solutions across Bronze, Silver, and Gold layers, including transformations and publishing.
• You will create reusable templates, parameterized pipelines, and metadata-driven ingestion patterns.
• You will implement data contracts, metadata standards, lifecycle controls, and ownership structures.
• You will strengthen operational governance through data quality controls and documentation.
• You will implement and operate catalog, lineage, classification, ownership, and data quality using Purview and Fabric features.
• You will build dashboards and reporting for platform health, pipeline reliability, and cost visibility.
• You will track SLAs/SLOs and support incident routines and platform operations improvement.
• You will work with FinOps on capacity utilization and cost optimization recommendations.
• You will onboard teams to platform standards and reusable engineering practices.

Skills

PySpark

SQL

Python

Pipelines

Data governance

Monitoring

Documentation

English

Tools

Microsoft Fabric

Databricks

Synapse

OneLake

Purview

Lakehouse

Job description

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 help strengthen a self-service data platform and business insights capability in a large retail environment where governed self-service, scalable data products, and reliable reporting are central to the roadmap. The role combines hands‑on data engineering with platform operations, governance, observability, and cost control, giving you the chance to turn platform standards into repeatable ways of working. You will primarily work within a platform‑focused team while also supporting reporting and analytics delivery when needed. This is a strong opportunity if you want to influence how data products are built, operated, monitored, and improved in a modern Microsoft ecosystem.

Job Description

• You will build and operate data products in Microsoft Fabric, from ingestion to consumption-ready layers.
• You will develop end‑to‑end solutions across Bronze, Silver, and Gold layers, including transformations, modeling, and publication.
• You will create reusable templates, parameterized pipelines, metadata‑driven ingestion patterns, notebook libraries, and other scalable delivery patterns.
• You will implement data contracts, metadata standards, lifecycle controls, and ownership structures for domain‑owned data products.
• You will strengthen operational governance through data quality controls, validation rules, certification criteria, and supporting documentation.
• You will implement and operate catalog, lineage, classification, ownership, and data quality capabilities using Microsoft Purview and Fabric‑native functionality.
• You will build dashboards and reporting for platform health, pipeline reliability, refresh status, usage, incidents, and cost visibility.
• You will track SLAs and SLOs, improve incident routines and runbooks, and support continuous improvement of platform operations.
• You will work with day‑to‑day FinOps, including capacity utilization, cost allocation, anomaly detection, and optimization recommendations.
• You will support onboarding of teams to platform standards, working methods, and reusable engineering practices.

Requirements

• Strong hands‑on data engineering using PySpark or Spark, SQL, Python, pipeline orchestration, and incremental‑loading patterns.
• Hands‑on experience with Microsoft Fabric, or strong Databricks or Synapse experience with a clear transfer path to Fabric, including Lakehouse, notebooks, pipelines, and OneLake or equivalent concepts.
• Experience building reusable pipelines and data products using frameworks and templates rather than only one‑off deliveries.
• Practical experience implementing governance related to data quality, metadata, catalog tooling, documentation, and operational controls.
• Experience with monitoring, operational reporting, platform support, and troubleshooting.
• Strong scripting and automation capability.
• Ability to work across technical teams, governance stakeholders, and business stakeholders with strong documentation discipline.
• Minimum approximately five years of relevant data‑engineering experience with operations or governance exposure.
• Clear communication skills in English.

Nice to have

• Experience with Microsoft Purview, including catalog, lineage, Data Map, and quality capabilities.
• Experience with Fabric operations, including Capacity Metrics App, Monitoring Hub, workspace monitoring, and usage reporting.
• Experience with data‑quality tooling such as Great Expectations, dbt tests, or equivalent.
• Experience in FinOps or cloud cost management.
• Experience tracking SLAs and SLOs and working with incident‑management and platform‑support processes.
• Experience with CDC and event‑driven ingestion.
• Relevant certification such as DP‑700.

What We Offer

• Permanent employment at Avaron AB
• Occupational pension
• Wellness allowance of SEK 5,000 per year