Senior Data Engineer for the MDM Data Product Team at Avenga. Responsible for provisioning data from master data customer and product systems.
About the role
- Senior Data Engineer at Reaktor working on data-intensive applications and scalable architectures. Collaborating with clients to develop data pipelines and solutions for various applications.
Responsibilities
- Designing and developing scalable data pipelines (ETL/ELT) in both batch and stream processing settings.
- Working on infrastructure, integrations and APIs for storing, transforming and delivering data to end users.
- Working together with our clients and domain experts to figure out their data needs.
- Collaborating with data scientists, machine learning engineers and designers to design end-to-end data products.
- Creating and building an end-to-end data pipeline for gathering impression data and serving content recommendations for a media streaming platform; a semantic search engine for large amounts of textual data; a data lake with numerous sources of financial data; or a platform and data pipelines for running ML models and integrating results to different applications.
Requirements
- Experience in hands-on data engineering projects.
- A background in working with databases and SQL (such as PostgreSQL, DynamoDB, Redshift, BigQuery).
- Experience in data platforms, data lakes or data warehouses (such as Databricks, Snowflake).
- A solid programming foundation in Python (required), with additional experience in other languages such as Java or TypeScript being a plus. Proficiency in data-related libraries like PySpark and Pandas.
- Experience in at least one cloud provider (AWS, Azure, GCP).
- Understanding of infrastructure-as-code practices (such as Terraform, CloudFormation, CDK).
- Consulting skills i.e. good communication skills and the ability to work with clients to figure out their data needs.
- Fluency in English both written and spoken. Finnish is seen as an advantage.
- General knowledge of modern data science and business intelligence tools and frameworks is seen as a plus.
- Experience in data architectures and data modelling is a plus
Benefits
- The ability to impact how you work. Together with the client, your team chooses the approach, technologies, and methodologies you think will work best in any given situation
- A community with as much support as your heart desires
- A team that’s not only experienced but considerate as well – they all want you to succeed
- A sustainable work-life balance and support for your daily life outside of work. (e.g., free moving day, Reaktor car share, sick child care services, office space to use for your private events, etc.)
- An opportunity to grow as a professional. In addition to the day-to-day work, we offer internal training courses, community events, and 15-minute coffee breaks to discuss hot topics in tech and design
- A possibility to take part in more extended academy-like studies like Cloud Academy
- 300+ hobby clubs, from winter swimming and running to knitting and archery, that bring people together outside of (and sometimes inside) office hours. Many of these are supported by Reaktor
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Warehouse Modelling Engineer designing and maintaining data models using Data Vault 2.0 for iGaming industry. Collaborating with stakeholders and optimizing data models in a hybrid work environment.
Senior Data Engineer driving impactful data solutions for the climate logistics startup HIVED's core data platform. Collaborating with cross - functional squads to enhance analytics and delivery.
Data Engineer developing and maintaining CRE forecasting infrastructure for Cushman & Wakefield. Collaborates with senior economists and technical teams to ensure high - quality data solutions.
Data Engineer at PwC, engaging with Azure cloud services to enhance data handling and integrity. Responsibilities include pipeline optimizations, documentation, and collaboration with stakeholders.
Data Engineer Manager at PwC focusing on building data infrastructure and solutions. Leading data engineering projects to transform raw data into actionable insights and drive business growth.
Junior Data Engineer at OneMarketData focusing on data quality and integrity in financial datasets. Collaborating with senior analysts and assisting in data management and analysis tasks.
Data Engineer Manager leading robust data solutions for PwC's clients. Transforming raw data into actionable insights and coaching team members.
Senior Data Engineering Analyst developing and implementing data solutions. Collaborating in a diverse environment focused on data processing and analysis for clients' digital transformation.
Principal Software Engineer in Threat Data Platform developing AI - driven tools for threat intelligence automation. Collaborating on robust data pipelines for PANW’s product ecosystem.