Senior Data Engineer

March 6

Ryanair - Europe's Favourite Airline

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Ryanair Holdings plc, Europe’s largest airline group, is the parent company of Ryanair DAC, Lauda, Buzz and Ryanair UK$1. .$1

Airlines • Aviation • Travel • Holidays • Car Rental

13703 - 13703

💰 Post-IPO Equity on 2020-09

Description

• We are looking for a Data Engineer to work in a multi-disciplined team, working alongside Developers, Designers and Product Owners, who will own their work from the initial idea to the final implementation. • The role will allow for opportunities to work in a variety of areas such as commercial, marketing, engineering, logistics, and anything else that you may think of, or that will come your way. • The Data Engineer team has the majority of their projects on AWS, but there is also a chance to work with other clouds, such as GCP and Azure.

Requirements

• Strong knowledge on general computing systems (Operating systems, network, memory layers, processes, etc) • Proficient in data analysis • Good intuition in exploring data and interpretation • Must also have decent math/statistical-based skills and how to use them on data quality processes • Good knowledge of Data Warehouse concepts • Proficient knowledge of SQL on both DDL and DML scripts. Being able to optimize queries and understand the processes generated behind them • Deep knowledge of Big Data technologies, especially on HDFS and Spark (2.X minimum) • Proficient in data processing with either Python or Scala, but good knowledge on both technologies • Proficient coding skills, good code style, testing skills and documentation • Virtualization through Docker. Experience with Kubernetes is also a plus • Job Orchestration with Airflow or similar • Good knowledge of IaaC and CICD principles • Good data visualization skills through dashboards • Good communication skills • Proactivity and good team spirit •+5 years of experience working on data processing related projects (ETLs, Data Analysis, etc...) • Working on exploiting multiple data formats (file formats, Json, CSV, parquet etc...; APIs, different DB engines..) • Experience in Data Modelling on analytical databases • Some experience on building event-driven architectures, a plus if those architectures were made on AWS • +2 years at least working on AWS. Experience with the following services is a plus: EMR, Batch, Lambda, SNS, SQS, DynamoDB, Glue, Athena, MWAA • Experience on defining process monitoring, troubleshooting • Experience working with Data Science teams, productionizing their pipelines, and assisting them for data wrangling

Benefits

• Possible hybrid model (2 days from the office weekly) • Option to participate in trainings and conferences • Staff travel benefits from day one • Creative work tax deduction • Multisport card • Private health care • Group insurance scheme • Possibility of taking part in trainings and certifications • Great chance to meet your colleagues in other offices • Annual events (i.e. St. Patrick’s Day 🍀) • Regular social meetings 🍻 • Paid referral system • New office building surrounded by great dinettes right in the city centre 🌆