Senior Data Engineer

Infoplus Technologies UK Limited; Göteborgs kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Infoplus Technologies UK Limited is seeking a Senior Data Engineer to join Volvo Cars data engineering team, focused on building and operating data pipelines and trusted datasets from embedded platforms, cloud, and telemetry sources.

The role emphasizes development of data models, quality checks, monitoring, and collaboration with cross-functional teams, including dashboards support, security compliance, and documentation for knowledge transfer.

Qualifications

• 6–10 years in data engineering with at least 4 years hands-on production data pipelines.
• Proficient in Python and SQL.
• Experience with pipeline orchestration tools (Airflow, Dagster, ADF or similar).
• Strong data modelling, ETL/ELT, and data quality practices.
• Knowledge of cloud data solutions (AWS, Azure or GCP).
• Experience with logs, events, telemetry or time-series data and APIs (REST, Kafka, MQTT).
• Git, CI/CD, unit and data testing.

Responsibilities

• Build and maintain automated, production-grade data pipelines (batch and streaming).
• Process logs, events, measurements, and telemetry at high volume.
• Develop shared data models, schemas and transformations for analysis-ready datasets.
• Implement data quality checks, monitoring, alerting, and data lineage.

Skills

Python

SQL

Data pipelines

Airflow

Dagster

Azure Data Factory

PySpark

dbt

Data modeling

Data quality

Git CI/CD

Kubernetes

Education

BE/BTech/MCA/MSc

Tools

Databricks

Snowflake

BigQuery

Docker

Kubernetes

Job description

Joining: by January 2027 (short notice period preferred)

About the role:

You will be a core member of the Volvo Cars data engineering team, working with the Lead Data Engineer. You build and run the data pipelines, shared data models and quality controls that turn logs, events, measurements and telemetry from embedded platforms (TCAM, VCU, Embedded Apps Platform), cloud, test and application sources into trusted datasets for troubleshooting, quality follow-up and platform insights.

Responsibilities:

• Build and maintain automated, production-grade data pipelines (batch and streaming) from embedded, cloud, test and application sources
• Process logs, events, measurements and time-series telemetry at high volume
• Develop shared data models, schemas and transformations; build curated, analysis-ready datasets and views
• Implement data quality checks, pipeline monitoring, alerting, data lineage and documentation
• Support dashboards and analytical use cases for troubleshooting, reliability analysis and product quality follow-up
• Provide production support: troubleshoot failures, find root causes, write runbooks
• Write tests; take part in peer reviews of code, data models and data quality
• Follow security, privacy and access-control rules; handle sensitive data correctly
• Document your work and support knowledge transfer and handover to Volvo Cars engineers
• Work with embedded, cloud, platform and mobile teams; raise risks and dependencies early

Must have:

• 6 to 10 years in data engineering, with at least 4 years hands-on on production data pipelines
• Strong Python and SQL
• Pipeline orchestration (Airflow, Dagster, Azure Data Factory or similar)
• Data modelling (data modeling), transformation and ETL/ELT (Spark/PySpark, dbt or similar)
• Data quality checks, monitoring, alerting and data lineage
• Cloud data solutions on AWS, Azure or GCP
• Logs, event data, telemetry or time-series data; APIs and messaging (REST, Kafka, MQTT)
• Git, CI/CD, unit and data testing
• Troubleshooting and root cause analysis of production data pipelines
• Understanding of security, privacy and sensitive data handling

Good to have:

• Automotive, embedded systems, connected car, IoT or mobile analytics experience
• Dashboards and visualization (Grafana, Power BI, Tableau, Kibana)
• Log and monitoring tools (ELK, OpenSearch, Splunk, Prometheus)
• Databricks, Snowflake or BigQuery; Docker, Kubernetes

Education:

Education: BE, BTech, MCA, MSc or equivalent in Computer Science, Engineering or IT

Keywords:

Senior Data Engineer, Data Engineering, data pipelines, ETL, ELT, batch, streaming, Python, SQL, PySpark, Spark, Airflow, Dagster, Azure Data Factory, orchestration, data modelling, data modeling, schema, dbt, data quality, monitoring, alerting, data lineage, Kafka, MQTT, REST API, event data, log data, telemetry, time-series, IoT, AWS, Azure, GCP, Parquet, Delta, Git, CI/CD, pytest, Grafana, Power BI, Tableau, troubleshooting, root cause analysis, runbooks, production support, GDPR, security, privacy, sensitive data, automotive, embedded, connected car, vehicle data, observability, embedded analytics, documentation, knowledge transfer