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Senior Data Engineer / Data Pipeline Architect
Lahore, Lahore, Pakistan
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Senior Data Engineer / Data Pipeline Architect 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.
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDesign and drive the architecture, migrating pipelines incrementally while ensuring existing outputs remain unchanged.
Collaborate closely with and mentor a Data Engineer within the team, ensuring long-term ownership, reliability, and independent maintenance of the migrated pipelines.
From the employer’s posting
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. Must-Have Requirements
What you’ll bring
All qualificationsCore experience
- 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.
Qualification wording
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.
Education & alternatives
Education - Minimum Bachelor's degree (or equivalent). Nice-to-Have
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Datamatics is hiring
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- BigQuery
- dbt
- GCP
- Kafka
- Kubernetes
- Spark
- Airflow
Where the posting names them
- 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 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.
- 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.
- Experience with Config Connector (KCC) for managing GCP resources through Kubernetes. - Experience with event-driven architectures using Kafka.
Your next step
Complete your application on datamaticstechnologies.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
Has Datamatics posted this job before?
Yes. We’ve followed 6 other Senior Data Engineer / Data Pipeline Architect jobs there since November 2026. All 6 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Senior Data Engineer / Data Pipeline Architect
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.
Must-Have Requirements
- 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.
Education
- Minimum Bachelor's degree (or equivalent).
Nice-to-Have
- 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lahore, Lahore, Pakistan
Senior Data Engineer / Data Pipeline Architect 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.