Big Data and Analytics Engineer

We are seeking a highly skilled and innovative Data and Analytics Engineer to join our team. In this role, you will be responsible for designing, building, and handling our data infrastructure and analytics solutions to enable data-driven decision-making across the organization! You will work on sophisticated datasets and collaborate with multi-functional teams to unlock insights and deliver actionable intelligence!

We are embarking on a journey to transform our data pipelines and platforms, with a strong emphasis on innovation.

Key Responsibilities:

• Design, develop, and optimise data pipelines, architectures, and data integration workflows.

• Build scalable and efficient data storage solutions, such as data lakes, warehouses, or cloud-based systems.

• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.

• Develop and maintain ETL processes for ingesting, transforming, and loading data from diverse sources.

• Conduct advanced data analysis, modelling, and visualization to identify patterns and insights. Ensure data quality, reliability, and security across systems.

• Work with distributed computing frameworks (e.g., Spark, Hive, Hadoop) to process and analyse large datasets.

Essential skills:

• 5-10 years experience in data and analytics.

• Bachelor’s or equivalent experience in computer science engineering, or a related field.

• Strong programming skills in languages such as Python, Java, or Scala. Hands-on experience with SQL, and data modelling.

• Proven understanding of ETL workflows within databases / warehouses such as Oracle, PostgreSQL, SQL Server etc.

• Proficiency with data tools (e.g. Databricks, Spark, Kafka, Hadoop, Presto) and cloud services (e.g. Azure, AWS, GCP).

Nice to have:

• Experience with machine learning frameworks and tools such as Azure ML Studio, AWS SageMaker etc.

• Knowledge of real-time data processing and stream analytics like Azure Event Hubs or similar.

• Hands on experience with real-time analytical databases such as Clickhouse or Apache Druid/Pinot or similar.

YOUR PACKAGE WHEN JOINING GDYNIA TEAM: 

• Bonus: bonus plan assigned to every position  

• Wellbeing: monthly wellness and work-from-home allowance, and employee assistance program 

• Lunch card: meal allowance on personal lunch card provided monthly 

• Healthcare: private medical care with Medicover, premium package fully covered by employer and life insurance with Generali  

• Future: corporate pension plan supported by Fidelity International offering additional 5% of base salary to invest in selected funds, and LSEG Employee Share Purchase plan available 

• Reward and Recognition: additional awards and vouchers available for extra achievements 

• Referral: Bonus between 8,000 to 10,000 PLN for successful recommendation of a new colleague 

• Development: E-learning platforms access with a range of training and certified courses 

• LSEG Products: availability to access to real-time economic data through our flagship Workspace platform 

• Diversity: Inclusive culture built by colleagues from over 40 countries representing various age, gender, race, and beliefs 

• Charity