Auf einen Blick
- Aufgaben: Lead a team to create innovative data solutions and products that drive business value.
- Arbeitgeber: Join Adsquare, a leader in adtech, focused on data analytics and engineering.
- Mitarbeitervorteile: Enjoy flexible work models, 30 vacation days, and a yearly education budget of €1,200.
- Warum dieser Job: Be at the forefront of data innovation while mentoring a talented team in a dynamic environment.
- GewĂĽnschte Qualifikationen: Master's or PhD in a quantitative field; strong leadership and technical skills required.
- Andere Informationen: Experience with big data technologies and a passion for continuous learning is a plus.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Intro
As a Team Lead Data Analytics Engineering in our Data Analytics Engineering and Data Science (DAES) department at Adsquare, you will lead the technical aspects of a Data Solutions squad to create data assets and data products that fuel our applications and ultimately drive business value.
Your team sits between data engineering and another DAES squad which builds further data solutions and data science products based on the data solutions built in your team.
Your team’s focus is data analytics engineering first and some data science second. You will play a pivotal role in ensuring that data assets, data solutions and data products are delivered on time and within budget, fostering an environment of research and development, and guiding the team in building and enhancing innovative data solutions.
Your Mission
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Be accountable for our data assets and data solutions built atop of large amounts of locations signals tracking data, geographical (places) data and audience attribute data.
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Lead, mentor, and manage a team of mainly data analytics engineers, data analysts, data scientists, fostering professional growth and accountability.
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Implement and leverage the data-value pyramid framework to efficiently maximise the impact of data insights.
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Oversee the design, development, and deployment of data transformation pipelines, ensuring timely and cost-effective delivery.
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Drive research and development efforts to keep Adsquare at the forefront of data innovation in the adtech world.
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Apply your background in social sciences to inform and enrich data analysis and model development.
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Oversee the design and implementation of statistical models on vast amounts of data.
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Utilise your expertise in dbt (data build tool) to implement, optimise and test data transformation processes.
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Conduct data analysis and build live data monitoring dashboards to support product development and strategic decision-making.
Your Profile
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You are driven and passionate about extracting value from data and about building highly automatic and scalable data solutions and data transformation pipelines.
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You strive for excellence and high-value output and at the same time remain humble, grounded and approachable.
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You are resilient and thrive in complex situations where you need to handle many requests and acceptance criteria.
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You communicate regularly, clearly, concisely and openly in the interest of problem solving in a team.
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For all your projects you do thorough research and back up all your ideas with data. You always lead by example.
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You are guided by a moral compass knowing to do the right thing following the principles of excellent and fair leadership, following the scientific method and always thriving to deliver excellent products, in a cost-efficient manner, bringing maximum value to Adsquare’s customers.
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You have a 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.
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You have ample experience in leading and mentoring a technical team, providing both strategic direction and hands-on guidance.
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You have excellent communication and organizational skills, with the ability to convey complex technical information clearly and effectively.
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You are fluent in English; Knowing German or another European language is an advantage.
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You have a proactive approach to problem-solving, an aptitude for promoting data literacy across the organization and you love learning new things, expanding your skills and also empowering your team to learn and grow continuously.
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You have multi-year experience in working and leading teams according to software engineering principles (agile, 12-factor app, software design).
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You have strong proficiency in Python, with knowledge of key libraries such as pandas and numpy, FastAPI, streamlit, jupyter, scipy, statsmodels, scikit-learn, pytest, poetry, dask, PySpark etc.
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You have a 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.
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You have experience in handling and processing very large datasets (100s of GBs to many TB), particularly tabular, geo-spatial and behavioral data.
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You have proven hands-on experience with dbt, SQL, databases as well as Tableau (or similar BI tools); Airflow and docker experience is highly valued.
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You have experience with working with big data warehouses and technologies, such as Athena, Iceberg, DataBricks, PySpark, Redshift, Snowflake, BigQuery in conjunction with dbt.
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You are familiar with the AWS stack (Glue, Athena, Redshift, Lambda, Batch, StepFunctions).
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You ideally have deployed infrastructure with Terraform and have used Kubernetes regularly in your projects.
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You ideally have some data science experience in choosing and implementing machine learning algorithms.
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You ideally have empirical scientific experience, having designed and conducted scientific experimental research.
Why us?
On top of a competitive package…
- We are open to flexible work models: we work on a hybrid mode and remotely.
- To encourage education and professional growth, we offer an individual yearly budget of 1,200€.
- You are entitled to 30 vacation days per year.
- We offer BVG company ticket, JobRad bike leasing, Urban Sports Club membership, company pension scheme.
- We care about your mental health and provide you with coaching and counseling sessions through the collaboration with the FĂĽrstenberg Institut.
- Regular team events and company events organised by our People team (Trust us, they know how to throw a party!).
- We equip you with the latest hardware and provide you with all the tools you need to thrive.
About us
Adsquare is the global audience & location intelligence company making marketing a whole lot smarter.
With eight offices around the world we are a truly international company but one united team working towards our vision: empowering companies to accelerate business growth by staying at the forefront of data-driven marketing.
We are pioneers in advertising and data. We were born mobile, before it was a necessity, and have pioneered data-driven advertising in display and now DOOH. We have the smartest people, working with the best tech, so we can drive the pace of change.
We are visionaries. We see a better way for marketers and are doing everything we can to make that a reality. We believe in innovation and the power of technology. We believe in constantly improving what we’re doing because the work is never done.
We believe in what we do and rise to meet our own high standards. If there’s a problem, we fix it, humbly and without fuss or delay. Although our technology is best-of-breed, we are unassuming and modest in our approach.
We are passionately candid, both with each other and with our clients. We take the time to explain our approach to their problem, confident there is nothing to hide.
We are consistent and true to our word. We don’t take shortcuts but focus on being our clients’ most reliable partner. We make promises – and we keep them. As a result, clients enjoy spending time with us, because we are good people.
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Team Lead Data Analytics Engineering (m/f/d) Arbeitgeber: Adsquare GmbH
Kontaktperson:
Adsquare GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Team Lead Data Analytics Engineering (m/f/d)
✨Tip Number 1
Familiarize yourself with the specific technologies and tools mentioned in the job description, such as dbt, Python libraries, and AWS services. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your technical expertise.
✨Tip Number 2
Highlight your leadership experience by preparing examples of how you've successfully managed and mentored teams in the past. Be ready to discuss your approach to fostering professional growth and accountability within your team.
✨Tip Number 3
Showcase your problem-solving skills by preparing to discuss specific challenges you've faced in data analytics engineering and how you overcame them. This will illustrate your proactive approach and ability to drive innovation.
✨Tip Number 4
Since communication is key for this role, practice explaining complex technical concepts in simple terms. This will help you convey your ideas clearly during the interview and demonstrate your ability to communicate effectively with non-technical stakeholders.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Team Lead Data Analytics Engineering (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Team Lead Data Analytics Engineering position at Adsquare. Understand the key responsibilities and required qualifications, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in data analytics engineering, team leadership, and any specific technologies mentioned in the job description, such as Python, dbt, and AWS. Use keywords from the job listing to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also demonstrates your passion for data analytics and leadership. Mention specific projects or experiences that showcase your ability to lead a technical team and drive innovation.
Showcase Your Communication Skills: Since excellent communication is crucial for this role, ensure that your application materials are clear, concise, and free of jargon. Highlight instances where you successfully conveyed complex technical information to non-technical stakeholders.
Wie du dich auf ein Vorstellungsgespräch bei Adsquare GmbH vorbereitest
✨Showcase Your Leadership Skills
As a Team Lead, it's crucial to demonstrate your experience in leading and mentoring technical teams. Prepare examples of how you've guided teams in the past, focusing on fostering professional growth and accountability.
✨Highlight Your Technical Expertise
Be ready to discuss your proficiency in Python and relevant libraries, as well as your experience with dbt, SQL, and big data technologies. Providing specific examples of projects where you've utilized these skills will help you stand out.
✨Communicate Clearly and Effectively
Given the need for excellent communication skills, practice explaining complex technical concepts in simple terms. This will showcase your ability to convey information clearly, which is essential for this role.
✨Demonstrate a Proactive Problem-Solving Approach
Prepare to discuss instances where you've tackled challenges proactively. Highlight your aptitude for promoting data literacy and your enthusiasm for continuous learning, as these traits are highly valued in this position.