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Pipeline run

5ac3af7f-faf0-4c68-8f67-b20f87e18b46

Pipeline LLM cost (USD)
API 1: $0.0091 API 2: $0.0000 API 3: $0.0000 Total: $0.0091

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · Data transformation and modeling
Build and maintain SQL/dbt/Snowflake ELT pipelines and dimensional models on Azure, while troubleshooting data issues and supporting data quality/MDM needs for self-service analytics. Collaborate with product, architects, and platform teams in Agile/SAFe, and mentor others on delivering high-quality data products.
""Experienced in building and maintaining data warehouses and data lakes.""
Tech stack maturity
Modern Cloud Native cache hit
The combination of Azure, Snowflake, Airflow, and dbt indicates a cloud-first, modern data engineering stack with widely adopted orchestration and transformation tools.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (13)
SQL dbt Snowflake Microsoft Azure Semarchy XDM Agile SAFe Redpanda Benthos Apache Airflow Python API Power BI
Skill cluster (7 dimension groups, role-scoped)
Programming Languages for Data Work
SQL Python
BI and Visualization Tools
Power BI
Cloud Data Warehouses
Snowflake
Cloud Platforms
Microsoft Azure
Data Pipeline Orchestration
Apache Airflow
ETL and ELT Tooling
dbt
Cross-cutting / unaligned
Semarchy XDM Agile SAFe Redpanda Benthos API
Show KRA description ↓
This role is part of Data and Analytics team which provides competence to Products Areas, Clusters and Teams to succeed in delivering business value by turning data into Insights. Expected to Utilize standards and best practices to enable Business areas to accelerate their value journey through Self-Service data & analytics, and to accomplish “insights at the fingertips” for Volvo Car Group. Provides opportunity to mentor developers to build quality products, contribute to multiple domains and be part of technology selection/solution architecture. Act as Technology expert to build quality data products with willingness to self-learning and long-term commitment. Interact with Product teams, architects, and platform experts to deliver user stories on timely basis with world class quality. Experience and Education • Educational Background: bachelor’s or master’s degree in computer science, or related field. • Professional Experience: 5 years+ in data engineering or related field, handling large-scale data systems. Analytical Skills • Data Warehousing: Experienced in building and maintaining data warehouses and data lakes. • Data Modeling: Understanding of dimensional modeling techniques and ability to apply them in data transformation tasks. • ELT Processes: Skilled in creating and managing ELT pipelines. • Master Data Management (MDM): Working knowledge of master data management concepts and tools such as Semarchy XDM, with a focus on learning how to ensure data consistency and quality across systems. Adaptability and Continuous Learning • Staying Updated: Keeps abreast of latest trends and technologies in data engineering. • Embracing Change: Open to adopting new tools and methodologies. • Continuous Improvement: Seeks opportunities to improve processes and systems. Primary Technology Skills • Solid understanding of SQL programming with ability to write queries and troubleshoot data issues. • Exposure to designing and managing ELT processes using dbt and Snowflake for data transformation. • Basic knowledge of dimensional modeling and data modeling principles. • Experience working with Snowflake as a cloud data warehouse for analytics and reporting. • Familiarity with Microsoft Azure cloud services for data storage and processing. • Exposure to Semarchy XDM or other MDM tools for managing master data and ensuring data quality. • Understanding data governance concepts and willingness to learn data quality practices. • Experience working in Agile environments such as SAFe. • Exposure to Redpanda for streaming data integration and basic understanding of Benthos configuration for templated ingestion pipelines. • Familiarity with Apache Airflow for orchestrating data workflows. Secondary Technology Skills • Basic proficiency in Python for scripting and automation tasks. • participate in peer reviews and collaborate with senior engineers. • Exposure to API integration for data consumption. • Experience or interest in building dashboards using Power BI.

Signals

Skill data-engineer
0.50
Alias data-engineer
1.00
KRA data-engineer
0.62

Post-classification

Centroidupdated · n=269
Alias collision log
New-role queue
New skills captured4
New KRA captured

Captured for admin review

Semarchy XDM primary Data Engineer pending
SAFe primary Data Engineer pending
Redpanda primary Data Engineer pending
Benthos primary Data Engineer pending
Status: extract_from_jd_done Created: 2026-05-27T15:15:14.222317Z Updated: 2026-06-12T16:39:28.490769Z
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

Software, the fuel for mobility

We bring bold digital visions to life. So we’re on the lookout for more curious and creative engineers who want to create change – one line of high-quality code at a time. Our transformation isn't for everyone, but if you're excited about solving the leading-edge technological challenges facing the auto industry, then let’s talk about your next move.

Let's introduce ourselves

At Volvo Cars, we are making bold digital visions come true. We aim to be the leader in the automotive world by creating a digital ecosystem built around making our customers' lives less complicated. What we all have in common at Volvo Cars is our passion for protecting lives, our endless curiosity and our dedication to create a new future for the automotive industry. Our human centric focus is what separates us from all other car companies.

What You'll Do

This role is part of Data and Analytics team which provides competence to Products Areas, Clusters and Teams to succeed in delivering business value by turning data into Insights. Expected to Utilize standards and best practices to enable Business areas to accelerate their value journey through Self-Service data & analytics, and to accomplish “insights at the fingertips” for Volvo Car Group. Provides opportunity to mentor developers to build quality products, contribute to multiple domains and be part of technology selection/solution architecture.

Main Responsibilities

Act as Technology expert to build quality data products with willingness to self-learning and long-term commitment. Interact with Product teams, architects, and platform experts to deliver user stories on timely basis with world class quality.

What You'll Bring

Experience and Education

• Educational Background: bachelor’s or master’s degree in computer science, or related field.
• Professional Experience: 5 years+ in data engineering or related field, handling large-scale data systems.


Analytical Skills

• Data Warehousing: Experienced in building and maintaining data warehouses and data lakes.
• Data Modeling: Understanding of dimensional modeling techniques and ability to apply them in data transformation tasks.
• ELT Processes: Skilled in creating and managing ELT pipelines.
• Master Data Management (MDM): Working knowledge of master data management concepts and tools such as Semarchy XDM, with a focus on learning how to ensure data consistency and quality across systems.


Adaptability and Continuous Learning

• Staying Updated: Keeps abreast of latest trends and technologies in data engineering.
• Embracing Change: Open to adopting new tools and methodologies.
• Continuous Improvement: Seeks opportunities to improve processes and systems.


Primary Technology Skills

• Solid understanding of SQL programming with ability to write queries and troubleshoot data issues.
• Exposure to designing and managing ELT processes using dbt and Snowflake for data transformation.
• Basic knowledge of dimensional modeling and data modeling principles.
• Experience working with Snowflake as a cloud data warehouse for analytics and reporting.
• Familiarity with Microsoft Azure cloud services for data storage and processing.
• Exposure to Semarchy XDM or other MDM tools for managing master data and ensuring data quality.
• Understanding data governance concepts and willingness to learn data quality practices.
• Experience working in Agile environments such as SAFe.
• Exposure to Redpanda for streaming data integration and basic understanding of Benthos configuration for templated ingestion pipelines.
• Familiarity with Apache Airflow for orchestrating data workflows.


Secondary Technology Skills

• Basic proficiency in Python for scripting and automation tasks.
• participate in peer reviews and collaborate with senior engineers.
• Exposure to API integration for data consumption.
• Experience or interest in building dashboards using Power BI.


Volvo Cars. For Life.

For nearly a century, Volvo Cars has empowered people to move freely in a personal, sustainable and safe way. Today, we are driving bold advancements in electrification, sustainability and automotive safety. To realise our ambitious vision, we are seeking innovative minds who are ready to tackle the challenges of tomorrow – today.

In our company, we believe extraordinary things are achieved by ordinary people with the drive to make a difference.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

SQL Primary No API 2 row (run stopped after API 1 or history missing)
dbt Primary No API 2 row (run stopped after API 1 or history missing)
Snowflake Primary No API 2 row (run stopped after API 1 or history missing)
Microsoft Azure Primary No API 2 row (run stopped after API 1 or history missing)
Semarchy XDM Primary No API 2 row (run stopped after API 1 or history missing)
Agile Primary No API 2 row (run stopped after API 1 or history missing)
SAFe Primary No API 2 row (run stopped after API 1 or history missing)
Redpanda Primary No API 2 row (run stopped after API 1 or history missing)
Benthos Primary No API 2 row (run stopped after API 1 or history missing)
Apache Airflow Primary No API 2 row (run stopped after API 1 or history missing)
Python Secondary No API 2 row (run stopped after API 1 or history missing)
API Secondary No API 2 row (run stopped after API 1 or history missing)
Power BI Secondary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleData Engineer
CompanyVolvo Cars
Experience5 years+ in data engineering or related field
DomainAutomotive & Mobility
JD type pass
Show raw JSON
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  "urls": []
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API 1 — extract-from-jd click to toggle
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      {
        "display_name": "Engineering Manager",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "Agile",
          "SQL"
        ],
        "role_id": 121,
        "score": 0.2,
        "slug": "engineering-manager",
        "total_count": 10
      },
      {
        "display_name": "ML Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Microsoft Azure"
        ],
        "role_id": 3,
        "score": 0.1,
        "slug": "ml-engineer",
        "total_count": 10
      },
      {
        "display_name": "DevOps Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Microsoft Azure"
        ],
        "role_id": 10,
        "score": 0.1,
        "slug": "devops-engineer",
        "total_count": 10
      },
      {
        "display_name": "Cyber Security Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Microsoft Azure"
        ],
        "role_id": 5,
        "score": 0.1,
        "slug": "cybersecurity-engineer",
        "total_count": 10
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "Data Engineer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 2,
      "score": 0.97,
      "slug": "data-engineer",
      "total_count": null
    },
    "confidence": 0.97,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Data Engineering",
      "Data Warehousing and Lakehouse Development",
      "ELT Pipeline Development",
      "Dimensional Data Modeling",
      "Master Data Management",
      "Data Governance and Quality",
      "Cloud Data Platform Engineering",
      "Analytics Enablement"
    ],
    "matched_kras": [
      "Utilize standards and best practices",
      "Enable Business areas to accelerate their value journey",
      "Accomplish \u201cinsights at the fingertips\u201d",
      "Build quality data products",
      "Deliver user stories on timely basis",
      "Build and maintain data warehouses and data lakes",
      "Create and manage ELT pipelines",
      "Ensure data consistency and quality across systems"
    ],
    "matched_skills": [
      "SQL",
      "data warehouses",
      "data lakes",
      "dimensional modeling",
      "ELT pipelines",
      "dbt",
      "Snowflake",
      "Microsoft Azure",
      "Semarchy XDM",
      "master data management",
      "data governance",
      "data quality",
      "Agile"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Data Engineering \u0026 Analytics; The JD centers on building and maintaining data warehouses/lakes, ELT pipelines, SQL, Snowflake, Azure, and large-scale data systems, which best matches Data Engineer.",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 269,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 13370,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Semarchy XDM",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 13371,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "SAFe",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 13372,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Redpanda",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 13373,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Benthos",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{}
API 3 — final-role-output
{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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