Analytical Engineer (f/m/d)

Purpose of position Data sits at the heart of the company. This role is to ensure that Awin can leverage the data it has access to across the group and build out reporting to ensure we are able to make better commercial decisions and provide best-in-class campaign management to support client-facing departments. As a Data Engineer, your role focuses on designing, building, and optimizing scalable data pipelines, curated datasets, and analytical data models within Azure, AWS, and Databricks environments. The position involves working with largescale datasets, improving performance and reliability, and translating business logic into well-structured tables, metrics, and transformation rules. The role also supports analytics teams through the delivery of high-quality, well documented datasets and ensures strong operational monitoring, data quality, and engineering best practices.   Key Responsibilities Data Engineering & Pipelines * Build and maintain ETL/ELT pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. * Develop production ready notebooks, workflows, and data lake integrations. * Apply best practices for Spark optimization (partitioning, caching, avoiding shuffle, file compaction). Dataset Modeling & Business Logic * Design curated datasets, semantic layers, and data marts that power analytics and reporting. * Partner with business stakeholders to understand requirements, operational challenges and decision-making needs, ensuring alignment between business expectations and technical constraints. * Convert business requirements into data models, defining tables, metrics, KPIs, and transformation rules. * Work closely with product owners and analysts to align datasets with business processes. * Document data models, lineage, logic, and dataset behaviour clearly and consistently. Performance, Monitoring & Reliability * Work with very large datasets, optimizing transformations and storage for scale and cost. * Tune and maintain PostgreSQL databases (indexes, running processes, performance diagnostics). * Implement robust data validation, schema enforcement, and quality checks across pipelines. Teamwork & Delivery * Collaborate with engineers, analysts, and business stakeholders to deliver reliable data solutions. * Communicate effectively with both technical and non‑technical audiences.   Qualifications Required * Bachelor’s degree in Computer Science, Data Engineering, or related field. * Hands‑on experience with Databricks (PySpark, Spark SQL, Delta Lake, Lakebase), PostgresSQL. * Background working with large, distributed datasets. * Proficiency in Python, PySpark and SQL. * Experience with data modeling, curated datasets, semantic layers, and medallion architecture. * Experience with AWS (in particular Lambda, CloudWatch, and Step Functions). * Competence in using Datadog or similar observability/monitoring platforms. * Strong debugging, problem solving, and communication skills. * Comfortable operating in Agile environments. * Strong commitment to thorough documentation. Preferred * Experience with Power BI, Tableau, or Luzmo. * Understanding of CI/CD practices for data pipelines.   Our Offer * Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves. * Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately. * Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions * Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches. * Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member. * Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

ANALYTICS ENGINEER  ABOUT THE ROLE We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform. In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company. Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture. KEY RESPONSIBILITIES  Data Modeling & Transformation * Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake. * Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures. * Apply best practices in modularity, documentation, and testing to ensure long-term reliability. Pipeline Ownership * Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring. * Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools. Enablement & Collaboration * Partner with analysts, data scientists, and business teams to define and deliver trusted data assets. * Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake. * Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams. WHAT YOU’LL NEED REQUIRED * Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment. * Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques. * Warehouse Experience: Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning). * Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions. * Data Ops: Experience applying version control, testing, and observability practices in dbt or similar frameworks. PREFERRED * Visualization: Experience structuring data for BI tools such as Tableau, focusing on scalability and performance. * Ingestion & Orchestration: Familiarity with Airflow, or similar tools for data ingestion and orchestration. * Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight). * Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan What’s in it for you * Join an ambitious tech company reshaping the way people build digital experiences * Full-time employees receive Stock Options for the opportunity to share in the success of our company * Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. * We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days * Time off to care for and focus on your growing family  * Use your personal annual education budget to improve your skills and grow in your career * Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties  * An annual wellbeing stipend to care for your physical, financial, or emotional health * A monthly communication phone/internet stipend and phone hardware upgrade reimbursement. * New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best. WHO ARE WE? Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. EVERYONE IS WELCOME HERE! “Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know. Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have. By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.