Data Engineer (500276)
Posted 16 days ago · 40 applicants
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The role in plain words
This role involves gathering data requirements from internal teams and converting them into databases and analytic software. The engineer will build big data batch and real-time ETL pipelines, manage data quality, and participate in architecture and code reviews. Additionally, you will handle logging, monitoring, and serve as the main point of contact for data exploration and pipelines.
- Information Systems, Industrial Engineering or Computer Science degree or relevant work experience (army tech units and similar)
- Strong business understanding – able to understand complex product flows, understand the business pain points and translate those to data solutions
- Dealing directly with internal customers regarding their data needs
- Expert in SQL in a large-scale data warehouse or data lake / lake house environment such as Spark, Databricks, Presto/Athena/Trino/Redshift
- Experience with developing ETLs / data pipelines end to end– monitoring, orchestrating
Extracted from the job description · kept up to date automatically
Who this suits
Suits candidates with strong experience in SQL, Python, cloud environments (preferably AWS), big data tech like Spark, and ETL development, fluent in English and Hebrew. It may be less ideal for those looking for a permanent position, as this is a temporary one-year role.
Full job description
Original listing · kept for referenceA leading fintech company is looking for a Data Engineer!
*Temp position for one ye
ar📍 Petah Tiqv
ah What you'll
do: ·Gather data needs from internal customers like product and analysts, and translate those requirements into a working database and analytic softw
are.·Develop data-centric software using leading-edge big data technologies. These include database design, batch, and real-time ETL pipeli
nes.·End to end ownership of teams data assets including: data quality, operational ownership, on-call (during working ho
urs)·Influence the software architecture and working procedures for building data and analytics solut
ions·Participate in design and code rev
iews·Independent and communicative, team player mind set - manage your own time, and work both independently and as part of a
team·Be the go-to person for anything and everything regarding understanding the data exploration, pipelines, analytics,
etc.
Qualifica
tions: · Information Systems, Industrial Engineering or Computer Science degree or relevant work experience (army tech units and s
imilar)· Strong business understanding – able to understand complex product flows, understand the business pain points and translate those to data sol
utions.· Dealing directly with internal customers regarding their data
needs.· Expert in SQL in a large-scale data warehouse or data lake / lake house environment such as Spark, Databricks, Presto/Athena/Trino/R
edshift· Experience with developing ETLs / data pipelines end to end– monitoring, orchest
rating.· Cloud environment, preferably AWS using tools such as EMR/Spark,
S3, EC2· Logging and monitoring tools such as Splunk, Graf
ana etc· Strong knowledge of database / dimensional modelling / data integratio
n tools· Writing scripts with languages like Python, and shell scripts in a Linux envi
ronment· High level of English and
Hebrew· AI experience with Agentic dev environments (Claude / Curs
or etc)
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- On-site
- Information Systems, Industrial Engineering or Computer Science degree or relevant work experience (army tech units and similar), Strong business understanding – able to understand complex product flows, understand the business pain points and translate those to data solutions, Dealing directly with internal customers regarding their data needs, Expert in SQL in a large-scale data warehouse or data lake / lake house environment such as Spark, Databricks, Presto/Athena/Trino/Redshift, Experience with developing ETLs / data pipelines end to end– monitoring, orchestrating