(Senior) Data/Analytics Engineer (m/w/d)

plusYOU GmbH; Hamburg; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading tech company in Hamburg is seeking a (Senior) Data/Analytics Engineer. You will design and optimize data pipelines, apply statistical testing methods, and manage data infrastructure transitions. The ideal candidate has over 3 years of experience with SQL and Python and is skilled in data visualization and collaboration. This is an exciting opportunity for professional growth in a dynamic environment.

Leistungen

Exciting projects and professional growth

State-of-the-art technology

Professional training programs

Company pension plan

Unforgettable company parties

Qualifikationen

• 3+ years as an Analytics Engineer.
• Confidence with SQL, Python, and BI tools.
• Experience with data pipelines and statistical testing.

Aufgaben

• Design and optimize data pipelines.
• Apply statistical testing methods.
• Ensure data quality with automated checks.

Kenntnisse

SQL

Python

Data visualization

Statistical testing

Data pipeline building

Collaboration

Tools

Looker

Tableau

Power BI

Airflow

GitLab

Google BigQuery

Jobbeschreibung

(Senior) Data/Analytics Engineer (m/w/d) in Hamburg

Passion. Entrepreneurship. Family spirit.

Since its founding, our partner company has grown into one of the leading firms when it comes to inspiring both the German B2B and B2C markets with its solutions and products. Today, more than 1,000 employees are dedicated to the success and continuous growth of this tech company.

Responsibilities

• You design, build, and optimize reliable data pipelines that are both scalable and easy to maintain
• You introduce and apply statistical testing methods to measure the effect of new features, working closely with cross-functional partners
• You set up automated checks and alerts that safeguard data quality and quickly surface irregularities
• You take ownership of migrating data infrastructure away from outdated systems, ensuring smooth transitions with strong performance outcomes
• You define engineering standards, actively share your expertise, and foster a culture of best practices across the team

Qualifications

• You bring at least 3 years of experience as an Analytics Engineer and work confidently with SQL, Python, and modern BI tools (e.g. Looker, Tableau, Power BI, Streamlit, Dash)
• You are skilled in building scalable data pipelines, data visualization (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Bokeh), and statistical testing (SciPy, StatsModels, dplyr, tidyr)
• You have hands-on experience with orchestration tools (Airflow, dbt, Metaflow), version control (GitLab), and data warehouses (Google BigQuery)
• You know how to handle raw tracking data (GA4 a plus) and apply solid statistical testing methodologies in practice
• You are an independent, pragmatic problem solver with excellent English communication skills who collaborates effectively with stakeholders.

About the partner

Our partner company has an international focus and is characterized by continuous development. Employees benefit from a steep learning curve and plenty of opportunities for personal and professional growth, actively shaping the company’s future along the way.

Each individual has the chance to contribute in different areas of responsibility according to their interests – and successes are celebrated together as a team.

Benefits

• Exciting projects and plenty of room for professional growth
• State-of-the-art technology and knowledge exchange with experienced sparring partners
• Professional training programs, language courses, and free access to tech conferences/meetups
• HVV ProfiTicket & JobRad, Company pension plan
• Unforgettable company parties and after-work events

Next steps

• Get in touch, and we’ll find out together if this position is right for you
• end us an email, or reach out via Xing, LinkedIn, or any other channel – we look forward to connecting with you!