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ETFBOOK
ETFBOOK

Tech Lead Data Engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Lead

Tech stacks

Data
Software Development
Security software
+18

Contract role
4 days ago
Apply now

Job Title: Senior/Lead Data Engineer

ⓘ View potential timezone restrictions

Location: Remote (European Time Zone)

Contract Type: B2B

About us:

ETFbook is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Founded in 2020, we aim to make global ETF data accessible, actionable, and valuable for institutional participants, including ETF issuers, index providers, fund service providers, market makers, exchanges, and buy-side institutions.

We develop a platform which offers comprehensive insights through a user-friendly web application and robust APIs, covering areas such as product analysis, fund flow tracking, performance comparisons, and liquidity assessments.

About the role:

You will work in an environment where data is a main product, not a side reporting function.

You’ll join a highly skilled data engineering team, part of a technology department. This team develops a cutting-edge platform on Azure using most advanced technologies with Data Platform based on Databricks, to support all company’s data needs. Your primary goal will be building and maintaining robust, secure data pipelines and helping in defining the data model that delivers trusted datasets to our clients.

Reporting to CTO, you’ll participate in a collaborative cross-functional team consisting of engineers, data analysts and product owner capable to deliver end to end solution – from data acquisition to end client delivery. This role offers the chance to make a visible impact in a dynamic, fast-evolving field.

Responsibilities:

  • Design, build, and maintain data pipelines architecture using Databricks.
  • Optimize data workflows for performance, reliability, and cost efficiency.
  • Ensure data integrity and quality across multiple sources and systems.
  • Collaborate with software engineers and data analysts to enable data processing.
  • Implement best practices for data governance and security.
  • Monitor and troubleshoot data pipelines using Azure Monitor and Log Analytics.

Requirements:

  • 5+ years of experience in data engineering with a software development background.
  • Strong expertise in Databricks-related technologies
  • Strong expertise in SQL.
  • Proficiency in Python
  • Strong analytical and problem-solving skills.
  • Interest in financial data.

What we offer:

  • 100% remote work from anywhere within the European time zone.
  • Competitive B2B contract.
  • Exciting growth opportunities in a fast-paced startup.
  • Closely hand-in-hand collaboration with CTO.
  • Impactful work: help revolutionise ETF data market, currently fastest growing area of finance.
  • Have a real impact of developing products: your work will directly influence live projects, delivering measurable results in real-world applications.
  • Culture of innovation: collaborate with forward-thinking professionals in technology and finance where experimentation and creativity are encouraged.
  • Team- buildings events at least twice a year, hosted in various European locations.

About ETFBOOK

🔗Website
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