Senior Data Analytics Engineer (m/f/d)

adsquare GmbH; Deutschland; Vor Ort; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen Senior Data Analytics Engineer, der in einem dynamischen Team arbeitet, um skalierbare Datenlösungen zu entwickeln. In dieser Rolle sind Sie verantwortlich für die Entwicklung und Pflege von Datenassets, die unsere Anwendungen antreiben. Sie bringen umfangreiche Erfahrung in der Datenanalyse und -technik mit, einschließlich Python, SQL und modernen Datenanalysetools. Diese spannende Position bietet die Möglichkeit, an der Spitze der Dateninnovation im AdTech-Bereich zu stehen und Ihre Fähigkeiten in einem flexiblen, unterstützenden Umfeld weiterzuentwickeln. Wenn Sie leidenschaftlich daran interessiert sind, komplexe Herausforderungen zu meistern und einen echten Einfluss zu haben, dann ist dies die richtige Gelegenheit für Sie.

Leistungen

30 Urlaubstage pro Jahr

BVG Firmen Ticket

JobRad Fahrrad Leasing

Urban Sports Club Mitgliedschaft

Pensionskasse

Coaching und Beratungssitzungen

Jährliches Weiterbildungsbudget von 1.200€

Regelmäßige Team-Events

Qualifikationen

• 4-6 Jahre Erfahrung als Data Analytics Engineer oder ähnliche relevante Erfahrung.
• Starke Kenntnisse in Python, SQL und Datenanalyse.

Aufgaben

• Entwicklung und Wartung von Datenlösungen basierend auf großen Datenmengen.
• Technische Führung und Mentorship für Junior-Teammitglieder.

Kenntnisse

Python

SQL

Data Analytics Engineering

Data Transformation Pipelines

Statistical Modeling

Communication Skills

Problem-Solving

Agile Methodologies

Ausbildung

Master's Degree or PhD in a relevant field

Tools

dbt

Tableau

AWS

FastAPI

PySpark

Terraform

Kubernetes

Jobbeschreibung

Intro

At Adsquare, our mission is driven by our core focus:
Passion - Solving complex challenges with great people, tech, and data.
Niche - Location Intelligence for Programmatic Advertisers.

Our core values are integral to everything we do:

1. Drive: We turn ambition into action.
2. Resilience: We adapt, persevere, and grow stronger.
3. No BS: We value honesty, transparency, and clear communication.
4. Humble: We choose modesty over vanity and let results speak for themselves.
5. Moral Compass: We do the right thing with fairness, integrity, and respect.

We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.

Your Mission

As a Senior Data Analytics Engineer, you will be a key contributor in our Data Solutions squad. You will create and maintain scalable data assets and products that power our applications and drive business value. While your primary focus is on data analytics engineering, you will also leverage some data science techniques when needed.

Reporting Structure:

1. You will join a dedicated team of 5, making you the 6th team member
2. You will work under the guidance of a Team Lead in Data Analytics Engineering

Key Responsibilities

1. Data Asset Ownership: Be accountable for developing and maintaining data assets and data solutions built on large volumes of location signals, geographical (places) data, and audience attribute data, according to defined SLAs and to time and budget.
2. Pipeline Development & Deployment: Design, develop, and deploy robust data transformation pipelines using latest data analytics engineering technology.
3. Technical Leadership & Mentorship: Lead and mentor junior team members, sharing your expertise and best practices in data analytics and data analytics engineering.
4. Innovative Data Solutions: Conduct R&D to keep Adsquare at the forefront of data innovation in adtech. Compute descriptive statistics, develop KPIs, and build statistical models on large datasets.
5. Data Monitoring & Dashboards: Create live monitoring dashboards to support product development and strategic decision-making, ensuring data solutions are properly monitored and maintained.
6. Collaboration & Continuous Improvement: Communicate with stakeholders, work closely with cross-functional teams to refine and enhance data solutions, always balancing cost efficiency and high-value output.

Your Profile

Experience: 4 to 6 years as a Data Analytics Engineer or similar relevant experience.

Technical Skills:

1. Strong proficiency in Python (including libraries such as pandas and numpy) and experience with tools like FastAPI, streamlit, jupyter, and PySpark.
2. Proven hands-on expertise with dbt is essential.
3. Solid knowledge of SQL, databases, and BI tools (e.g., Tableau or similar).
4. Experience handling large datasets (from 100s of GBs to many TB) including tabular, geo-spatial, and behavioral data.
5. Familiarity with big data technologies and data warehouses (e.g., Athena, DataBricks, Redshift, Snowflake, BigQuery) in conjunction with dbt.
6. Experience with the AWS stack (Glue, Athena, Redshift, Lambda, Batch, StepFunctions) and modern LLM AI tools (e.g., ChatGPT, Ollama, Claude, Gemini) to enhance coding efficiency.
7. Solid foundation in computer science principles, including data structures and algorithms, with a focus on data analytics engineering, databases, data analysis, descriptive statistics, ideally also on inferential statistics and probability theory.
8. Ideally, experience with deploying infrastructure via Terraform and using Kubernetes.
9. Master's Degree or PhD in a relevant quantitative empirical science field (e.g. Social Sciences, Psychology, Neuroscience, Physics, Statistics, Machine Learning, Mathematics, Computer Science, Economics) or equivalent practical experience.

Soft Skills & Personal Attributes:

1. Core Values Alignment: You must demonstrate Drive, Resilience, No BS, Being Humble, and a strong Moral Compass in your work and interactions.
2. Communication: Excellent written and verbal communication skills with an ability to simplify complex technical information.
3. Teamwork & Leadership: Experience guiding and mentoring junior team members in a collaborative environment.
4. Problem-Solving: A proactive approach to troubleshooting, backed by thorough research and data-driven decision-making.
5. Adaptability: Thrive in complex situations with competing priorities, ensuring project delivery on time and within budget.

Methodologies:

1. Familiarity with agile methodologies, software design principles (including 12-factor app), and a commitment to best practices in software engineering.

Why us?

On top of a competitive package...

1. We are open to flexible work models: we work on a hybrid mode and remotely.
2. To encourage education and professional growth, we offer an individual yearly budget of 1,200€.
3. You are entitled to 30 vacation days per year.
4. We offer BVG company ticket, JobRad bike leasing, Urban Sports Club membership, company pension scheme.
5. We care about your mental health and provide you with coaching and counseling sessions through the collaboration with the Fürstenberg Institut.
6. Regular team events and company events organised by our People team (Trust us, they know how to throw a party!).
7. We equip you with the latest hardware and provide you with all the tools you need to thrive.