Senior Data Analytics Engineer (m/f/d)

<h3>Intro</h3> <p>At Adsquare, our mission is driven by our core focus:<br/><strong>Passion</strong> – Solving complex challenges with great people, tech, and data.<br/><strong>Niche</strong> – Location Intelligence for Programmatic Advertisers.</p><p>Our core values are integral to everything we do:</p><ul><li><p><strong>Drive:</strong> We turn ambition into action.</p></li><li><p><strong>Resilience:</strong> We adapt, persevere, and grow stronger.</p></li><li><p><strong>No BS:</strong> We value honesty, transparency, and clear communication.</p></li><li><p><strong>Humble:</strong> We choose modesty over vanity and let results speak for themselves.</p></li><li><p><strong>Moral Compass:</strong> We do the right thing with fairness, integrity, and respect.</p></li></ul><p>We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.</p> <h3>Your Mission</h3> <p>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.</p><p><strong>Reporting Structure:</strong></p><ul><li><p>You will join a dedicated team of 5, making you the 6th team member</p></li><li><p>You will work under the guidance of a Team Lead in Data Analytics Engineering</p></li></ul><p><br/></p><h3><span><strong>Key Responsibilities</strong></span></h3><ul><li><p><strong>Data Asset Ownership: </strong>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</p></li><li><p><strong>Pipeline Development &amp; Deployment: </strong>Design, develop, and deploy robust data transformation pipelines using latest data analytics engineering technology</p></li><li><p><strong>Technical Leadership &amp; Mentorship: </strong>Lead and mentor junior team members, sharing your expertise and best practices in data analytics and data analytics engineering</p></li><li><p><strong>Innovative Data Solutions: </strong>Conduct R&amp;D to keep Adsquare at the forefront of data innovation in adtech. Compute descriptive statistics, develop KPIs, and build statistical models on large datasets</p></li><li><p><strong>Data Monitoring &amp; Dashboards: </strong>Create live monitoring dashboards to support product development and strategic decision-making, ensuring data solutions are properly monitored and maintained</p></li><li><p><strong>Collaboration &amp; Continuous Improvement: </strong>Communicate with stakeholders, work closely with cross-functional teams to refine and enhance data solutions, always balancing cost efficiency and high-value output</p></li></ul><br/> <h3>Your Profile</h3> <p><strong>Experience:</strong> 4 to 6 years as a Data Analytics Engineer or similar relevant experience</p><p><strong>Technical Skills:</strong></p><ul><li><p>Strong proficiency in <strong>Python</strong> (including libraries such as pandas and numpy) and experience with tools like FastAPI, streamlit, jupyter, and PySpark</p></li><li><p>Proven hands-on expertise with <strong>dbt</strong> is essential</p></li><li><p>Solid knowledge of SQL, databases, and BI tools (e.g., Tableau or similar)</p></li><li><p>Experience handling large datasets (from 100s of GBs to many TB) including tabular, geo-spatial, and behavioral data</p></li><li><p>Familiarity with big data technologies and data warehouses (e.g., Athena, DataBricks, Redshift, Snowflake, BigQuery) in conjunction with dbt</p></li><li><p>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</p></li><li><p>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</p></li><li><p>Ideally, experience with deploying infrastructure via Terraform and using Kubernetes</p></li><li><p>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</p></li></ul><p><strong>Soft Skills &amp; Personal Attributes:</strong></p><ul><li><p><strong>Core Values Alignment:</strong> You must demonstrate Drive, Resilience, No BS, Being Humble, and a strong Moral Compass in your work and interactions</p></li><li><p><strong>Communication:</strong> Excellent written and verbal communication skills with an ability to simplify complex technical information</p></li><li><p><strong>Teamwor