Senior Data Engineer (Hybrid, Porto, PT)

Parking Network BV; Porto; Híbrido; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Resumo da oferta

Planet is seeking a Senior Data Engineer to design, build, and optimize data pipelines powering analytics and predictive models on the Snowflake platform.

You will collaborate with data scientists, analysts, and business stakeholders to ensure data quality, governance, and timely ingestion using Fivetran and ELT tooling in a hybrid work setting.

Join a global team delivering trusted data solutions with a focus on security and scalable data architecture.

Qualificações

• Experience designing and operating scalable data pipelines and data platforms.
• Strong SQL skills for data querying and transformation.

Responsabilidades

• Design and build scalable data pipelines using ELT/ETL, ingesting multiple sources into Snowflake.
• Oversee data platform administration and optimize data structures for analytics.
• Develop and optimize ETL/ELT processes with automation and reliability.
• Define ingestion patterns for incremental loads, CDC, and full refreshes.
• Design and operate reverse ETL pipelines to operational systems.
• Monitor data quality and performance with testing frameworks.
• Implement data governance, schemas, ownership, and lineage.

Conhecimentos

ETL/ELT mastery

SQL

Data governance

Data security

Collaboration

Documentation

Ferramentas

Snowflake

Fivetran

Kafka

Descrição da oferta de emprego

Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers.

We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day.

Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time.

Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.

Role Overview:

As a SeniorData Engineer, you will play a key role in building and maintaining our data infrastructure, with a focus onSnowflake anddata ingestion tools. You will be responsible for designing, developing, and optimizing data pipelines that power our analytics and predictive models. The role requires you to collaborate with data analytics engineers, data analysts, data scientists, and business stakeholders to ensure data is accurate, reliable, and readily available.

What You Will Do:

• Design and develop data pipelines: Build efficient and scalable data pipelines usingELT tools, such as Fivetran and event-based sources,for data ingestion, ensuring smooth integration of multiple data sources intoSnowflake.
• Manage Data Platform: Oversee the administration, maintenance, and optimisation of ourSnowflakedata platform, ensuring data is structured for efficient querying and analysis.
• Automate ETL processes: Develop and optimiseETL/ELTprocesses to ensure timely and accurate data ingestion and transformation, with a focus on automation and efficiency.
• Define ingestion patterns for incremental loads, CDC, and full refresh scenarios.
• Design and operate reverse ETL pipelines to operational systems and APIs.
• Monitor data quality and performance: Implement monitoring and testing frameworks to ensure data quality, reliability, and pipeline performance.
• Implement data governance frameworks, including data contracts and schema evolution.
• Collaborate with teams: Work closely with analytics engineers, data analysts, data scientists, and business stakeholders to understand their data needs and deliver solutions that support business objectives.
• Troubleshoot and resolve Issues: Proactively identify and resolve data pipeline or infrastructure issues to ensure minimal downtime and data integrity.
• Ensure data governance: Implement data governance frameworks, including data ownership and stewardship, and drive documentation, lineage, and discoverability standards.
• Explore new tools: Continuously evaluate and recommend new tools, frameworks, and best practices to improve data pipeline efficiency and support future growth.
• Ensure data security: Ensure all data processes comply with data security and privacy regulations.

Who You Are:

• Proficient with Snowflake: Demonstrated experience in managing and optimizingSnowflakeas a data platform.
• ETL/ELT mastery: Solid understanding of ETL/ELT frameworks, with experience building and automating data pipelines.
• Expert in Fivetran: Hands-on experience using Fivetranfor data ingestion, integrating multiple data sources seamlessly.
• Familiarity with real-time data processing tools (mainly Kafka).
• SQL Expert: Advanced SQL skills for querying, transforming, and analyzing data across databases and data warehouses.
• Problem-solver: Strong analytical skills to troubleshoot data pipeline issues and optimize workflows for performance and reliability.
• Collaboration skills: Excellent communication skills and experience working cross-functionally with technical and non-technical teams.
• Documentation focused: Ability to document data processes clearly to ensure knowledge sharing and continuity.
• Experience withcloud data platforms(Snowflake, Databricks, Redshift, etc) and their data services.
• Knowledge ofdata governanceandsecurity best practices.

Why Planet:

Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.

Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce.

At Planet, we embrace a hybrid work model, with three days a week in the office.

Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.