Marketing Data Engineer

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Tel Aviv
Remote or Hybrid
Mid level
Cloud • Fintech • Software • Database • Analytics
Datarails is a financial planning and analysis platform for Excel users.
The Role
The Data Engineer will manage data platforms and pipelines, ensuring robust data systems for analytics and reporting, while collaborating across teams.
Summary Generated by Built In

Datarails is a financial planning and analysis platform that automates financial reporting and planning while enabling finance teams to continue using Excel’s familiar spreadsheets and financial models.

We are looking for an Experienced Data Engineer to join our marketing team and take end-to-end ownership of our data platform and production data pipelines. In this role, you will be responsible for building robust, scalable, and observable data systems that power analytics, reporting, and downstream business use cases. You will work deeply hands-on with data infrastructure, modeling, and orchestration, and act as a key technical partner to Marketing, Sales Product and Business and Finance teams.

This role suits someone who enjoys working close to the metal, designing systems that scale, and solving ambiguous data problems in a dynamic startup environment. You will play a critical role in shaping how data flows through the company, setting engineering standards, and ensuring data is trustworthy, performant, and ready for growth.

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
  • 3–5 years of hands-on experience as a Data Engineer, preferably in a SaaS or technology-driven environment.
  • Strong experience designing and maintaining data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Proven expertise with ETL/ELT tools and frameworks (e.g., Airflow, dbt, Talend, SSIS, Informatica, or similar).
  • Advanced SQL skills and solid proficiency in Python (or similar languages) for data processing and orchestration.
  • Strong understanding of data modeling, warehousing best practices, and analytics engineering concepts.
  • Experience integrating data from business systems such as Salesforce, HubSpot, or other SaaS platforms.
  • Familiarity with SaaS metrics and business concepts (ARR, churn, LTV, CAC) — from a data modeling perspective.
  • Experience supporting BI tools and analytics consumers (Tableau, Looker, Power BI, etc.).
  • Strong problem-solving skills, attention to detail, and a passion for building reliable data foundations.
  • Excellent communication skills and the ability to collaborate across technical and non-technical teams.

Top Skills

Airflow
BigQuery
Dbt
Informatica
Looker
Power BI
Python
Redshift
Snowflake
SQL
Ssis
Tableau
Talend
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The Company
New York, NY
225 Employees
Year Founded: 2015

What We Do

Datarails has created a solution that tackles one of the biggest challenges in financial departments: the overflowing amount of data that, up until now, was managed by tons of Excel sheets. All those financial reports, forecasts, expenses, analytics? Datarails takes all this data and integrates it into a one, simple, smart report.

Datarails consolidates all cross-organizational data and enables finance professionals to follow it, manage it, and derive insights from analysis. Instead of spending time on manual consolidation, Datarails automates the consolidation process and the creation of financial reports. It’s cloud-based, so nothing gets lost, it’s brilliant, so almost every feature can be added.

Why Work With Us

We're on a mission to transform finance. Datarails is committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our team

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