Senior Data Engineer (Delivery Experience)

<h3>Job Description</h3><p><strong>The salary range for this position is PLN 16 100 - 23 200 in gross terms (contract of employment)</strong></p><p><strong>A hybrid work model that incorporates solutions developed by the leader and the team</strong></p><p>We are looking for a Senior Data Engineer with a focus on the data processing and preparation, deployment and maintenance of our ML/data projects. Join our team to enhance your skills related to deploying data-based processes, MLOps Machine Learning approaches and share the skills within the team.</p><p><strong>We are looking for people who:</strong></p><ul><li>Have at least 5 years of experience as Data Engineer and working with large datasets</li><li>Have experience with cloud providers (GCP preferred)</li><li>Are highly proficient in SQL</li><li>Have strong understanding of data modeling and cloud DWH architecture</li><li>Have experience in designing and maintaining ETL/ELT processes</li><li>Are capable of optimizing cost and efficiency of data processing</li><li>Are proficient in Python for working with large data sets (using PySpark or Airflow)</li><li>Use good practices (clean code, code review, CI/CD)</li><li>Have a high degree of autonomy and take responsibility for developed solutions </li><li>Have English proficiency on at least B2 level</li><li><p>Like to share knowledge with other team members</p></li></ul><p><strong>Nice to have:</strong></p><ul><li><p>Experience with Azure and cross-cloud data transfers and multi-cloud architecture</p></li></ul><p><strong>What will your responsibilities be?</strong></p><ul><li>You will be actively responsible for developing and maintaining processes for handling large volumes of data</li><li>You will be streamlining and developing the data architecture that powers analytical products and work along a team of experienced analysts</li><li>You will be monitoring and enhancing quality and integrity of the data</li><li>You will manage and optimize costs related to our data infrastructure and data processing on GCP</li></ul><p><strong>What we offer</strong></p><ul><li>A hybrid work model that you will agree on with your leader and the team. </li><li>We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)</li><li>A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)</li><li>16" or 14" MacBook Pro with M1 processor and, 32GB RAM or a corresponding Dell with Windows (if you don’t like Macs) and other gadgets that you may need</li><li>Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)</li><li>English classes that we pay for related to the specific nature of your job</li></ul><p><strong>Why would you like to work with us:</strong></p><ul><li>Big Data is not an empty slogan for us, but a reality - you will be working on really big datasets (petabytes of data)</li><li>You will have a real impact on the direction of product development and technology choices. We utilize the latest and best available technologies, as we select them according to our own needs</li><li>Our tech stack includes: GCP, BigQuery, (Py)Spark, Airflow</li><li>We are a close-knit team where we work well together</li><li>You will have the opportunity to work within a team of experienced engineers and big data specialists who are eager to share their knowledge, including publicly through<a href="https://allegro.tech/"> allegro.tech</a></li></ul><p><strong>Send us your CV and learn why it’s #goodtobehere</strong></p>