Big Data Engineer (Due Diligence)
Traffit
- Poland, Ohio, United States
- Poland, Ohio, United States
Über
We are looking for a
senior Big Data expert
with a strong analytical background and hands‑on experience across
data platforms, marketing platforms, and advanced analytics .This role is directly tied to a
technology‑and data‑focused Due Diligence project , where the expert will contribute to an independent, critical assessment of a data‑driven marketing and measurement platform.The position is suited for someone who can
go deep into data and technology , challenge assumptions, and form clear, defensible conclusions about
scalability, data defensibility, and long‑term relevance
of complex platforms operating within the digital marketing ecosystem. This position involves a limited time commitment (approximately 20–30 hours in total). Responsibilities
Perform a
deep technical and analytical review
of a data‑driven marketing platform as part of a Due Diligence process Evaluate
data assets
in terms of structure, ownership, freshness, scalability, and dependency on third‑party sources Assess
data pipelines, storage, and processing architecture , including use of data warehouses, lakehouse concepts, and distributed processing Review how
identity resolution, attribution, and measurement
are implemented and how reliable they are across channels Analyze how marketing and advertising data flows through the platform (from ingestion to activation and reporting) Identify key strengths, bottlenecks, limitations, and risks within the data and technology stack Translate complex technical findings into
clear, structured insights
for senior stakeholders Act as a senior sparring partner on Big Data, analytics, and marketing‑technology topics Requirements
Strong experience in
Big Data and advanced analytics
(SQL, modern data warehouses such as Snowflake, BigQuery, Redshift) Practical knowledge of data pipelines and distributed processing
(Python/Scala, Spark, Databricks) Experience with data platform architecture
(warehouse/lakehouse, data modeling) Good understanding of marketing data ecosystems
(CDP, analytics, AdTech, attribution)Hands‑on experience with
modern data infrastructure
(e.g. Kafka, Flink, Druid, Cassandra) and analytical databases (e.g. ClickHouse, TiDB, StarRocks) Experience across data, business, and architecture layers
(e.g. pre‑sales, data architecture, business analysis) Solid understanding of DevOps practices
in data environments Ability to critically assess data platforms beyond surface‑level metricsExperience in technology or data Due Diligence
is a plus Whats in it for you?
Join for a role, stay for the development : More than 40% of our team is working with us longer than 5 years. Explore diverse domains, projects and modern technologies through internal mobility. Learn from the best:
Almost 60% of all our colleague has over 10 years of professional experience. Flexibility:
Work fully remotely, full-time from our office in Wroclaw or in a hybrid model. Practical benefits : private medical care, life insurance, sport card, English and German classes in small, online groups.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.