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Analytics Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Junior (1-2 years)
Work from: 
Poland, Portugal

Offer summary

Qualifications:

1+ years in data or analytics engineering, Knowledge of Python and SQL, Experience with ETL/ELT processes, Familiar with version control systems, Advanced Microsoft user.

Key responsabilities:

  • Assist in designing data pipelines using Python, SQL, and cloud tools
  • Support data lakes and ensure optimization for analytics
  • Execute transformations using dbt and create BI reports
  • Collaborate with team members and stakeholders to deliver data solutions
  • Act as business partner to Category Management and deliver analysis needs
AUTODOC logo
AUTODOC Large https://autodoc.group/
5001 - 10000 Employees
About AUTODOC
We make mobility easy & sustainable. AUTODOC was founded in 2008 in Berlin and we are now a leading online retailer for vehicle spare parts and accessories. in Europe. We are a growing profitable technology company active in 27 countries with a highly diverse team of over 5 000 people from 50 countries where things are going fast forward! We are transforming and looking for innovative, tech-driven, and agile talents to join us across Europe. It is important for us that our people feel a sense of impact, purpose and belonging within our organization - whether they work in an office space, in one of our warehouses or remotely. With our headquarters in Berlin- Germany, we also have several offices across Europe. Catch the ride! https://autodoc.group/en/about-us https://autodoc.group/en/facts-and-figures https://autodoc.group/en/news-room https://autodoc.group/en/career Legal notice: https://bit.ly/3LHWIg1
See more AUTODOC offers

Job description

Company Description

AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe.
Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands.

Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Job Description

You will play a foundational role in our data team, supporting basic concepts and procedures to contribute to data-driven decision-making processes. Under supervision, you will assist in developing competence by executing structured work assignments, utilizing existing procedures to address routine problems.

Responsibilities:

  • Assist in designing and implementing data pipelines to support ETL and ELT processes, utilizing Python, SQL, and cloud tools.

  • Support and manage data lakes and warehouses to ensure accessibility, reliability, and optimization for analytics purposes.

  • Execute basic transformations using tools like dbt and contribute to the creation of reports in BI platforms such as Apache Superset, PowerBI.

  • Follow software engineering best practices including version control, code reviews, and continuous integration within the analytics pipelines.

  • Collaborate with senior team members, data analysts, and business stakeholders to comprehend requirements and contribute to the delivery of data solutions.

  • Act as business partner to the Category Management, Pricing and Assortment teams and help them scope, plan, execute and structure short-term and strategic data analysis needs.

  • Support the data analysts in the team in running, verifying and assuring data for the Category Management, Pricing and Assortment teams, and act as a full-fledged temporary replacement for data analysts in times of peak demand or absences.

Requirements:

  • 1+ years of experience in data engineering or analytics engineering, with a proven track record of building and managing complex data pipelines
  • Knowledge of Python, SQL, and cloud technologies
  • Experience with data transformation tools (e.g., dbt) and BI tools (e.g., Apache Superset).
  • Solid understanding of data warehousing concepts and experience with data lakes and ETL/ELT processes.
  • Familiarity with version control systems (e.g., Git).
  • Advanced Microsoft user (Power Query, Power Pivot, Power View, DAX, VBA)
  • Experience using large language or machine learning models to drive team productivity is a plus


Soft skills

  • Always starts with the customer and works backwards, striving to improve their experience with Autodoc.
  • Demonstrates a relentless pursuit of knowledge and excellence, staying abreast of industry trends and new technologies.
  • Consistently delivers high-quality work, paying meticulous attention to detail and ensuring excellence in every aspect of their role.
  • Builds and maintains trust with colleagues and stakeholders through transparent communication and delivering on promises.
  • Has a keen eye for detail, analyzing data to derive insights and make informed decisions.

What do we offer?

  • Competitive salaries based on your professional experience

  • Fast growing international company with stable employment

  • Annual vacation and 1 additional day off on your birthday

  • Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions

  • Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching

  • Free English and German language classes

  • Referral Program with attractive incentives

  • Flexible working hours and hybrid work

Join us today and let’s create a success story together!

Required profile

Experience

Level of experience: Junior (1-2 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

PowerpivotVBScript (Visual Basic Scripting Edition)Python (Programming Language)Data Transformation ServicesBusiness Intelligence ToolsAnalyticsPowerqueryData LakesData PipelinesLarge Language ModelingCloud TechnologiesVersion Control SoftwareData WarehousingData EngineeringMachine Learning AlgorithmsSQL (Programming Language)

Other Skills

  • Detail Oriented
  • Verbal Communication Skills
Are you interested?

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