Talantix.io
Sonova•11.04.26
AI SCORE 8.5

Lead Data Engineer - Remote Opportunity at Sonova

$140K–$160K/year
RemoteHealthTech
Databricks•SQL•Python•dbt•Data Governance•Data Engineering

About the Role

We are seeking a talented Lead Data Engineer to join our team remotely. As a Lead Data Engineer, you will be responsible for building, maintaining, and continuously improving the central HR data lake that aggregates data from all systems. This role is crucial in ensuring the availability of reliable, analytics-ready datasets for internal tools, AI-driven applications, and cross-functional teams.

What You'll Do

  • Build and operate a Databricks Lakehouse / Data Lake for enterprise HR data.
  • Integrate multiple data sources (e.g., SAP SuccessFactors, ServiceNow) to ensure seamless and accurate data flow.
  • Implement and maintain analytics-ready data models in dbt and convert exploratory datasets into reusable, trusted derived datasets.
  • Develop, refactor, and optimize data pipelines using AI-assisted coding tools (CLI-first) in Databricks for speed, quality, and maintainability.
  • Provide curated datasets for internal tools, AI-driven applications, and reporting purposes.
  • Partner with analysts and business stakeholders to understand data requirements and translate them into robust technical solutions.
  • Monitor and improve data quality, governance, and performance across all pipelines and datasets.

Requirements

  • Minimum 5 years of experience in data engineering.
  • Strong hands-on experience with Databricks, SQL, and Python.
  • Extensive experience with analytics engineering tools such as dbt.
  • Skilled in designing modular data systems (Design Thinking approach).
  • Experience enforcing data governance and access management practices.
  • Curious, pragmatic, and solution-oriented mindset.
  • Careful and disciplined in handling sensitive data.
  • Strong awareness of privacy, security, and compliance requirements.
  • Fluent in English.

Nice to Have

  • Experience in the HealthTech industry.
  • Familiarity with cloud platforms (AWS, Azure).
  • Knowledge of machine learning concepts.

What We Offer

  • Flexible hybrid working model that allows you to balance your career with personal commitments.
  • A wide range of training opportunities for professional and personal development.
  • Exceptional growth opportunities supported by individual development plans.
  • Inclusive culture that values diversity and collaboration.
  • Competitive salary and benefits package.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Lead Data Engineer role at Sonova offers a unique opportunity to work remotely while building innovative data solutions in the HealthTech industry. With a competitive salary and a focus on professional development, this position is ideal for experienced data engineers.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in using Databricks and SQL to design and implement scalable data pipelines, ensuring efficient data integration and transformation within a data lake environment.

→

Demonstrates a proactive approach to data governance, with experience in establishing data quality frameworks and compliance standards to ensure the integrity of analytics-ready datasets.

→

Possesses a strong analytical mindset and experience in Python for data manipulation, allowing for innovative solutions in data engineering while adapting well to the remote work environment.

Learning Resources

→Databricks Documentationguide
→Data Engineering with dbtcourse
→Building Data Lakes on AWS with Databrickscourse

Career Path

Lead Data Engineer(Now)→Data Engineering Manager(2-4 years)→Director of Data Engineering(5-7 years)

Market Overview

Market Size 2024
$10.5B
Annual Growth
25.4%
AI Adoption
60%
Investment
+150%
Labour Demand
+35%
Avg Salary
$145K

Skills & Requirements

Required
DatabricksSQLPython
Growing in Demand
Apache SparkMachine LearningDataOps
Declining
HadoopTraditional ETL Tools

Domain Trends

Rise of Unified Analytics Platforms
Companies are increasingly adopting unified analytics platforms like Databricks to streamline data processing and analytics, with a 40% increase in adoption since 2022.
Emphasis on Data Governance
Data governance has become critical, with 70% of organizations prioritizing data governance frameworks to ensure compliance and data quality.
Integration of AI and Machine Learning
The integration of AI and machine learning into data engineering processes is growing rapidly, with 55% of data engineers reporting that they use AI tools for data management tasks.

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