Senior Data Engineer: Build a Scalable Data Platform

SeenThis AB; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

SeenThis AB seeks a Senior Data Engineer to own and evolve the data platform powering proof, insights and optimisation for open-web video advertising. You will join the R&D team across core tech, studio and reporting streams, handling production-grade data workflows and high-volume streams.

You will grow as the second data engineer, shaping models and self-serve datasets while partnering with stakeholders to translate business problems into data products.

Qualifications

• Strong experience building and operating production data platforms.
• Proficient in Python and advanced SQL.
• Experience with data lakes, data warehouses and complex dimensional models.

Responsibilities

• Run and evolve the data platform end to end, from ingestion through transformation, modelling and serving.
• Make it reliable through data-quality checks, monitoring and alerting, idempotent pipelines, backfills and repair tooling.
• Work with data of different shapes and scales, from high-volume events to third-party APIs, operational databases and files.
• Build and evolve governed models, onboard new sources, retire legacy paths and expand self-service through curated datasets.
• Build the trusted data products behind campaign reporting, commercial and financial reporting, billing and reconciliation, product insight and operational decision-making.
• Work directly with teams across SeenThis to identify what data can do for them and shape ambiguous problems into valuable use cases.

Skills

Python

SQL

Data pipelines

Airflow

GKE

Cloud platforms

Tools

Airflow

GCP

Terraform

ClickHouse

BigQuery

Kubernetes

Job description

SeenThis AB seeks a Senior Data Engineer to own and evolve the data platform powering proof, insights and optimisation for open-web video advertising. You will join the R&D team across core tech, studio and reporting streams, handling production-grade data workflows and high-volume streams.

You will grow as the second data engineer, shaping models and self-serve datasets while partnering with stakeholders to translate business problems into data products.