Data Platform Engineer

Publiceringsdatum: 2026-05-18

Funderar du på att söka jobb inom data/it? Letar du efter en chans att arbeta som databasdesigner på Polar Light Technologies AB? Nu är det möjligt. Intresserade sökes för heltid-jobb hos Polar Light Technologies AB - är du intresserad? De letar efter någon som vill jobba tills vidare.

Denna tjänst finns tillgänglig i Linköping som är tjänsteorten. Polar Light Technologies AB söker efter fler duktiga individer som vill arbeta som databasdesigner. De har just nu ett ledigt jobb som databasdesigner som kan vara av intresse för dig. Här är chansen att bli en del av Polar Light Technologies AB och jobba som databasdesigner! Ansök senast onsdag den sjuttonde juni 2026.

Jobbannons

As a growing deep-tech startup in the semiconductor industry we are seeking a Data Platform Engineer to develop and maintain an inhouse data ingestion and analytics platform.

Key Responsibilities

Custom SOP-driven Data Ingestion (Upstream):

• Support internal and external data producers with UI-tools and co-development of purposeful data contracts, which enables ingestion of unstructured data sources such as scientific instrument data, physical measurements, manual logistics, and canonical storage thereof.
• Develop and maintain data validation procedures, to secure robustness and quality for downstream data pipelines.

Custom S3 Data Lake Management (Infra/Platform):

• Own the architecture, IAM management, ETL design, and development of this (relatively small scale) data lake infrastructure to ensure availability, integrity and security. Manage serving of curated datasets to data consumers and insight subscribers.

Analytics / ML (Downstream):

• Support the organization with traceability and performance tracking of our core-business semi-conductor process flow in both R&D and production phases. Help the company answer scientific and product-oriented questions with data. Develop own models and derive actionable insights, via automated reports, dashboards and statistics.

Some expected tasks:

- Organization-wide support with onboarding of new SOPs which require data contracts.

- Develop workflows and test strategies to ensure end-to-end data quality

- Support data producers with troubleshooting, and upload guidance.

- Develop custom UI- and data tools

- Monitor and debug ingestion failures, ensuring high data quality and consistency.

- Perform exploratory data analysis, statistical reporting, and machine learning modeling on curated datasets.

- Document SOP onboarding processes, data validation rules, and platform workflows.

- Collaborate with scientific and engineering teams to plan future platform improvements.

Desired Skills & Qualifications

- Strong proficiency in Python, and data validation workflows.

- Proficient in S3-like object storage: Experience managing and utilizing object storage solutions for data management.

- Cloud Computing: Knowledge of setting up and configuring cloud compute instances, ensuring efficient resource allocation and deployment.

- Knowledge of schema validation (e.g., JSON Schema) and ETL/data ingestion patterns.

- Ability to design, validate, and evolve ETL and data pipelines.

- Experience with data cleaning, wrangling, and quality control processes.

- Comfortable communicating and presenting in English.

Preferred Qualifications

- Background in engineering, physics, or similar technical domain.

- Experience with machine learning tools (scikit-learn).

- Familiarity with laboratory workflows, or process data environments.

- Experience with visualization libraries (e.g. Matplotlib, Seaborn, Plotly).

- Understanding of modern tooling (CI/CD, version control, testing frameworks).

Personal Attributes

- Structured and detail-oriented.

- Strong communicator who enjoys supporting colleagues.

- Thrives in a cross-functional highly dynamic environment