Location: Stockholm, Sweden (Hybrid – Travel Required)
Experience Required: 5 to 10 years
Duration: 6 months (Extendable)
Employment Type: FTE
Working Mode: Hybrid (Travel Required)
Language: English
Start: November 9, 2026 – April 30, 2027
We are looking for an experienced Senior Data Engineer / Data Pipeline Architect for an assignment in Stockholm focusing on data pipeline modernization, data security, and technical architecture.
The assignment involves leading the technical migration of existing data pipelines to meet stricter requirements for encryption, data retention, and deletion of user data, including historical and derived datasets.
Key Responsibilities- Design and drive the architecture, migrating pipelines incrementally while ensuring existing outputs remain unchanged.
- Establish sustainable engineering processes for testing, code reviews, incident management, and releases.
- Combine architectural leadership with hands-on engineering using Airflow, Spark, dbt, BigQuery, and Python.
- Collaborate closely with and mentor a Data Engineer within the team, ensuring long-term ownership, reliability, and independent maintenance of the migrated pipelines.
- Minimum 5 years of relevant professional experience (5–10 years overall).
- Deep hands-on experience with Airflow, Spark, dbt, BigQuery, and Python.
- Proven experience technically leading at least one complete data pipeline migration from start to finish.
- Experience refactoring production data pipelines while verifying that their outputs remain unchanged.
- Experience establishing and implementing engineering processes for testing, code reviews, and incident management.
- Demonstrated mentoring experience with measurable outcomes.
- Minimum Bachelor's degree (or equivalent).
- Experience with encryption at rest, data retention, or data deletion compliance (e.g., GDPR).
- Experience with envelope encryption and key management solutions (e.g., GCP KMS, AEAD functions, or Tink).
- Knowledge of BigQuery column-level security, policy tags, and Data Catalog.
- Experience with Config Connector (KCC) for managing GCP resources through Kubernetes.
- Experience with event-driven architectures using Kafka.
Skills Required
- Minimum 5 years of relevant professional experience, with 5–10 years overall
- Deep hands-on experience with Airflow, Spark, dbt, BigQuery, and Python
- Technical leadership of at least one complete data pipeline migration from start to finish
- Experience refactoring production data pipelines while verifying outputs remain unchanged
- Experience establishing and implementing engineering processes for testing, code reviews, and incident management
- Demonstrated mentoring experience with measurable outcomes
- Minimum Bachelor's degree or equivalent
- Experience with encryption at rest, data retention, or data deletion compliance, such as GDPR
- Experience with envelope encryption and key management solutions, such as GCP KMS, AEAD functions, or Tink
- Knowledge of BigQuery column-level security, policy tags, and Data Catalog
- Experience with Config Connector for managing GCP resources through Kubernetes
- Knowledge of event-driven architectures using Kafka
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
