Soda Data: Senior Data Engineer (Python + Remote)

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Job Overview

Soda Data is seeking a Senior Data Engineer (Python) to enhance and expand its Open Source and Cloud Products. This role is designed for individuals who can contribute significantly to their team while engaging in work that affects data engineering in substantial ways. The position calls for working closely with senior product leaders, including the CTO, and a skilled team comprising Data, Backend, Frontend, and full-stack engineers. The successful candidate will play a key role in shaping features for Soda Core and Soda Cloud, focusing primarily on Data Observability and Data Testing offerings. The company has a vision for this role where a successful candidate would eventually grow into a leadership position.

Responsibilities

The responsibilities of the Senior Data Engineer include:

• Collaborating with users and customers to guide product direction by implementing future-focused features for Soda Cloud and Soda Core.

• Working on scaling Soda Cloud to manage a billion datasets, which highlights the requirement of both technical expertise and forward-thinking solutions.

• Directly contributing to the open-source library; this involves designing, implementing, and maintaining new observability and testing features relevant to data.

• Implementing internal tools to streamline product development processes, thereby enhancing productivity and innovation within the engineering team.

Required Skills

To apply for this position, candidates should possess:

• Experience in building data or ML products or cloud-based software, showcasing a strong foundational understanding of the field.

• A robust familiarity with software engineering best practices, particularly the SOLID principles and design patterns.

• Proficiency in using the Python Data Stack along with substantial SQL skills, which are integral to managing and manipulating datasets efficiently.

• A deep understanding of data warehouses, data lakes, pipeline testing, and other related data engineering concepts.

• Outstanding communication skills in English (both oral and written) are paramount for effective collaboration within the team and with external stakeholders.

• A capacity for rapid learning and adaptability to new concepts is especially important in such a fast-evolving field.

• A proactive, independent work style, with a knack for proposing and defending innovative ideas and solutions.

• Candidates must be based in Europe, as this position requires collaboration across the continent.

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• There should be a strong interest in Data Quality, Data Observability, and Machine Learning (ML).

Nice-to-Have Skills

While not mandatory, the following qualifications could be beneficial:

• Previous experience working on Data Quality solutions or similar products targeted at data engineers.

• Familiarity with mainstream data warehousing solutions can provide an edge over other applicants.

• A basic understanding of the Python Data Science stack, including tools like Scikit Learn is recommended.

• Exposure to GitOps methodologies would enhance the candidate's application.

• A STEM degree from a prominent university is encouraged and might help in establishing foundational knowledge relevant to the role.

Compensation and Benefits

Soda Data offers an appealing compensation package, which is competitive within the industry. Specific details include:

• Salary of up to €110,000 per year, which reflects the company's commitment to attracting top talent.

• The possibility to earn equity in Soda Data, which allows employees to share in the potential future growth of the company.

• The position is entirely remote, providing flexibility in work arrangements. However, there is also an option to work from an office if preferred.

Company Background

Soda Data is headquartered in Brussels, Belgium. It is an emerging Open Source start-up well-funded and close to significant traction in the marketplace. The company aims to reshape the landscape of data reliability through innovative engineering and collaborative problem-solving with users.

As a candidate for the Senior Data Engineer role, joining Soda Data represents an opportunity to engage in the exciting early stages of a company that not only values personal growth but also offers the chance to be part of a larger mission aimed at solving vital data engineering challenges. This role is tailored for self-motivated individuals looking to make a mark in the data engineering field while enjoying a fully supportive and healthy remote working environment.

The urgency of applying is high, as the job listing expires soon. To capitalize on this opportunity for career advancement within a forward-thinking company, prospective candidates are encouraged to submit their applications promptly.

This job offer was originally published on weworkremotely.com