Senior Data Engineer

Planet Paymet; Porto; Híbrido; EUR 65 000 - 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 Snowflake-based data pipelines and ingestion tools. You will collaborate with analytics engineers, data analysts, data scientists, and business stakeholders to ensure data is accurate and readily available for analytics.

You will manage the data platform, automate ETL/ELT, monitor quality, and enforce governance. The role requires hands-on experience with Fivetran, Kafka, SQL, and cloud data services in a hybrid work

Qualificações

• Proven expertise designing and maintaining Snowflake-based data pipelines.
• Deep knowledge of ELT/ETL frameworks and data ingestion patterns.
• Experience with Fivetran and real-time data tools (Kafka).
• Ability to collaborate with analysts, scientists, and stakeholders to deliver data solutions.

Responsabilidades

• Design and develop data pipelines and data ingestion using ELT/ETL patterns.
• Manage the data platform, ensure efficient querying and analysis.
• Automate ETL/ELT processes and implement ingestion patterns (CDC, incremental loads).
• Monitor data quality and governance, collaborate with cross-functional teams.

Conhecimentos

Snowflake

ETL/ELT

Fivetran

Kafka

SQL

Problem solving

Collaboration

Documentation

Cloud platforms

Data governance

Descrição da oferta de emprego

About Planet 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 Senior Data Engineer, you will play a key role in building and maintaining our data infrastructure, with a focus on Snowflake and data 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.

Company Background

Planet provides integrated software, payment and technology solutions for its customers in the Hospitality and Retail sectors and worldwide via a network of global Financial Services Partners. Founded over 35 years ago, we have evolved our services, delivering an innovative digital commerce platform that puts customer experience first. With headquarters in London and around 3,000 expert employees located across six continents we serve customers in over 120 markets.