Data Engineer

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Team Description The Data Engineering team is responsible for developing and maintaining the company’s data ingestion and processing pipelines. This role collaborates with data scientists, software engineers, business analysts, and technical leads to build reliable data infrastructure that supports decision-making for apparel brands and retailers. The position reports to the Technical Lead within the Data Engineering function. Your Impact Contribute to the development and enhancement of data ingestion and processing pipelines Partner with product managers, data scientists, and engineers to build and maintain accurate and robust data infrastructure managing first- and second-party data Collaborate with technical leads and senior engineers on data architecture decisions and implementation strategies Support the team in delivering scalable solutions while learning and growing your expertise Work as part of a collaborative team that values creativity and continuous improvement Help build and maintain data pipelines that support AI and decision-making tools Your Qualifications Commercial proven experience in data engineering or related technical roles Proficiency in SQL and Python for data processing and pipeline development Experience with data warehousing concepts and ETL/ELT processes Hands-on experience with modern data platforms such as Snowflake, Databricks, or Redshift Familiarity with data orchestration tools like Apache Airflow, Prefect, or DBT Experience working with columnar formats like Parquet and Avro Understanding of data modeling, database optimization, and performance tuning Experience integrating data from various sources including APIs, FTP, and cloud storage Preferred Skills Knowledge of streaming data processing and data APIs Knowledge of cloud platforms, particularly AWS Familiarity with infrastructure as code and CI/CD practices Experience with time series data Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or ... (truncated, view full listing at source)