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Data Engineer

SAIZ

Remote · മുഴുവൻ സമയവും

അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ

അനുഭവം
3+ വർഷം
ശമ്പളം
ഓപ്പണിംഗുകൾ
1
പോസ്റ്റ് ചെയ്തു
4 മണിക്കൂർ മുമ്പ്
പ്രവർത്തന രീതി
വീട്ടിൽ നിന്ന് ജോലി ചെയ്യുക
വിദ്യാഭ്യാസം
Degree in Computer Science, Engineering, or related field
പുനരാരംഭിക്കുക
അപേക്ഷിക്കാൻ നിർബന്ധം

ജോലി വിവരണം

About SAIZ

SAIZ is an innovative AI-driven B2B SaaS startup situated in Berlin, dedicated to transforming apparel industry operations. Leveraging advanced analytics and artificial intelligence, our solutions help apparel brands reduce product returns, improve customer satisfaction, and promote sustainable practices. We foster a creative and independent startup atmosphere that values innovation and collaboration.

Role Overview

We are seeking a skilled and motivated Data Engineer (f/m/x) to join our team remotely. Your role will be pivotal in designing, building, and maintaining robust data infrastructure and pipelines. Collaborating closely with data analysts and clients, you will support data-driven decisions and enhance our offerings. Our workflows are managed through Jira with sprint-based task planning, providing you the freedom to innovate and contribute your ideas.

Key Responsibilities

  • Develop and sustain efficient data pipelines for seamless data integration and processing.
  • Create dashboards and utilize data modeling to analyze and monitor data outputs.
  • Construct and optimize data infrastructure for reliability, scalability, and high performance.
  • Partner with clients to comprehend their data needs and provide technical assistance regarding data issues.
  • Maintain data quality, consistency, and security across multiple data sources and platforms.
  • Identify and troubleshoot complex data-related problems, applying technical expertise to devise solutions.
  • Keep abreast of industry trends and best practices to continually enhance data workflows and technology.

Qualifications

  • Proficiency in Python and SQL is essential.
  • Experience with data visualization tools such as Metabase, Tableau, or Power BI is highly advantageous.
  • Familiarity with building and maintaining data pipelines for data ingestion, structuring, cleaning, and testing is desirable; knowledge of Airflow and DBT is a plus.
  • A minimum of 3 years of professional experience in data engineering or related fields.
  • Strong analytical skills including understanding of data structures, algorithms, and data modeling.
  • Degree in Computer Science, Engineering, or a related discipline.
  • Preferred prior experience working in a startup or fast-paced environment.
  • Ability to work independently and prioritize multiple tasks effectively.
  • Eagerness to learn quickly and adapt within a dynamic startup culture.
  • Excellent verbal and written communication skills suitable for collaborating with both technical and non-technical stakeholders.

Benefits and Working Conditions

  • Work in an energetic, innovative startup environment.
  • Have a direct influence on product development and company strategy.
  • Enjoy opportunities to enhance your skills and grow professionally as the company expands.
  • Collaborate with a passionate team that values creativity and independence.
  • This is a full-time remote position allowing flexible work location.

Equal Opportunity and Inclusion

SAIZ is committed to fostering a diverse and inclusive environment where everyone can flourish. We welcome applications from individuals of all backgrounds and identities, recognizing the value of diverse perspectives in enhancing innovation and teamwork.

Join Our Team

If you have enthusiasm for a startup atmosphere and a passion for data engineering, we encourage you to apply by submitting your resume and answers to our questions directly. We look forward to having you contribute to our mission of revolutionizing the fashion industry through data-driven digital transformation.

മറുപടി വേണമെങ്കിൽ അത് വിടുക — ഞങ്ങൾ അത് മറ്റൊന്നിനും ഉപയോഗിക്കില്ല.

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