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Senior Analytics Engineer

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Delivery Hero

1mo ago

  • Job
    Full-time
    Mid Level
  • Data
    IT & Cybersecurity
  • Berlin

AI generated summary

  • You need 3+ years in data/analytics engineering, strong Python and SQL skills, dbt experience, cloud data warehouse familiarity, version control knowledge, and a collaborative problem-solving mindset.
  • You will design and maintain data models, optimize query performance, collaborate with teams for data needs, ensure data quality, and automate workflows using dbt and SQL.

Requirements

  • 3+ years of experience in data engineering, analytics engineering, or a related field.
  • Strong proficiency in Python, SQL and experience with dbt for data modeling.
  • Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Familiarity with version control (Git) and CI/CD practices for data workflows.
  • Understanding of data engineering principles, including ETL/ELT processes.
  • Ability to collaborate cross-functionally with data engineers, analysts, product and business teams.
  • Strong problem-solving skills and attention to detail.

Responsibilities

  • Data Modeling and Development:
  • Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt.
  • Ensure data is structured to support self-service analytics and business intelligence.
  • Optimize query performance and data processing efficiency.
  • Collaboration and Stakeholder Management:
  • Work closely with data engineers to define data requirements and enhance ETL pipelines.
  • Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
  • Translate business logic into reusable, standardized data models.
  • Data Quality & Governance:
  • Implement and enforce data quality best practices to ensure accuracy and consistency.
  • Monitor data integrity and troubleshoot data issues proactively.
  • Advocate for best practices in documentation, testing, and version control.
  • Tooling & Automation:
  • Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms.
  • Automate data validation and reporting processes.
  • Contribute to improving internal data tooling and workflows.

FAQs

What is the primary responsibility of a Senior Analytics Engineer at Delivery Hero?

The primary responsibility is to transform raw data into well-structured, reliable, and accessible data models that enable informed decision-making for analysts, data scientists, and business stakeholders.

What tools and technologies should a candidate be proficient in for this role?

Candidates should have strong proficiency in Python, SQL, and experience with dbt for data modeling. Experience with cloud-based data warehouses such as Snowflake, BigQuery, or Redshift is also required.

How many years of experience is required for this position?

A minimum of 3 years of experience in data engineering, analytics engineering, or a related field is required.

Will I need to collaborate with other teams in this role?

Yes, you will work closely with data engineers, analysts, product teams, and business stakeholders to ensure that data meets analytical and reporting needs.

What kind of data governance practices are expected in this role?

Candidates are expected to implement and enforce data quality best practices, monitor data integrity, troubleshoot data issues, and advocate for best practices in documentation, testing, and version control.

Are there opportunities for career development in this position?

Yes, the company offers an educational budget, language courses, and access to various online courses to support career growth.

How does the company approach work-life balance?

The company promotes a hybrid working model and provides 27 days of holiday, along with various health and wellness benefits to support employee well-being.

Is knowledge of orchestration tools like Airflow necessary?

While it is considered a nice-to-have, it is not explicitly required for the role.

What benefits are provided for employees regarding health and wellness?

Employees have access to health checkups, meditation, yoga, gym and bicycle subsidies, as well as a range of other wellness initiatives.

Does Delivery Hero promote diversity and inclusion within the workplace?

Yes, Delivery Hero believes that diversity and inclusion are crucial for creating a positive employee and customer experience and does not discriminate based on various identities or statuses.

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Delivery Hero

We build, We deliver, We lead.

Technology
Industry
10,001+
Employees

Mission & Purpose

As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.