Data platform engineer at EveryPay (Skroutz)

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Ingestion, Data Pipelines, ETL/ELT, Data Infrastructure, Data Quality, Data Governance, Redshift, PySpark, Python, SQL, AWS Glue, Terraform, Data Modeling, BI Enablement, DataOps

Industry

Financial Services

Description

About EveryPay At EveryPay, we are on a mission to build the digital financial infrastructure that underpins e-commerce in Greece, empowering Marketplaces, and Merchants to thrive. We are a team of enthusiastic young people, driven by our values to Empower Customers, work as a Team Together, Manage Risk and Get Stuff Done. We are proud to have built the payments layer connecting most Greek Marketplaces and Merchants with world-class schemes like Visa and MasterCard. We service most Greek Marketplaces, including Greece’s largest and most successful marketplace: Skroutz. Our systems connect to thousands of banks, in Greece and abroad. Our tech processes tens of thousands of transactions every day – that’s €billions worth of e-commerce. If you have bought something online in Greece, chances are you have already used our payments product. EveryPay is fully owned by the Skroutz Group of Companies and is both a Tech Company and a Regulated Financial Services Institution. Therefore, you will be exposed to the world of the Tech Payments Sector and that of Financial Services. How you will contribute to EveryPay's vision: We are expanding our Data Platform team and seeking a talented Data Platform Engineer! As a Data Platform Engineer, you will be responsible for designing, building, and maintaining the core data platform that powers analytics and business intelligence at EveryPay. You will focus on developing robust data ingestion pipelines, setting up scalable data infrastructure, and enabling our BI team to unlock actionable insights from data. Your work will ensure that high-quality, reliable data is readily available to stakeholders across the company. What are our key challenges: Data Ingestion at Scale: Design and implement scalable, reliable data ingestion pipelines that process data from a variety of internal and external sources. Platform Enablement: Build, operate, and optimize our data platform to empower BI and analytics teams to explore, analyze, and visualize data with ease. Data Quality & Governance: Establish and enforce best practices for data quality, lineage, and governance to ensure trustworthiness and compliance. What you will be doing: Architect, build, and maintain ETL/ELT pipelines for ingesting data from diverse systems (e.g., payments systems, marketplaces, SaaS tools) Set up and manage data platform infrastructure (cloud data warehouses, databases, orchestration tools, etc.) Work closely with the BI team to understand data requirements and deliver performant, reliable data models and datasets Monitor pipeline performance and data quality, troubleshooting and resolving issues proactively Collaborate with Engineering, BI, Product, and Operations teams to deliver data-driven solutions Stay up to date with the latest data engineering best practices, tools, and technologies Our Stack: Redshift / PySpark / Python / MariaDB / MongoDB / Glue / Metabase / Terraform / Iceberg What will you need to succeed: 4+ years of experience in data engineering, data platform, or related roles Proven experience building and maintaining data pipelines with Python and/or PySpark Strong SQL skills; experience with Redshift or another cloud data warehouse is a plus Experience with ETL tools (AWS Glue preferred) and orchestrating data workflows Familiarity with cloud infrastructure (AWS preferred) and related services (e.g., S3, Lambda, SNS, SQS) Understanding of data modeling, data warehousing concepts, and BI enablement Experience building systems for data quality, reliability, and monitoring A collaborative mindset and the ability to work with stakeholders from multiple departments A passion for enabling analytics and empowering others through data Previous finance or payments experience is a plus but not required Familiarity with DataOps principles and tooling is a strong plus Thoroughness in reviewing and validating work What's it like to work at EveryPay? Competitive full-time salary 💸 Private Family Medical Plan 🏥 Monthly meal allowance 🍽️ Learning and development programs and access to relevant resources 📚 A flexible hybrid model of work Free Skroutz Plus subscription ➕ Free wellness subscription 🏋️‍♀️ Being part of an environment that gives employees large goals, autonomy, and mentoring, creating incredible opportunities, both for you and the company! 🪴 Disclaimer: EveryPay collects and processes personal data in accordance with the EU General Data Protection Regulation (GDPR). We are bound to use the information provided within your job application for recruitment purposes only and not to share these with any unauthorized third parties. Please read our Recruitment Privacy Policy below. Recruitment Privacy Policy The Company EVERYPAY PAYMENT SERVICES SINGLE MEMBER SOCIETE ANONYME (hereinafter referred to as "EVERYPAY") collects CVs and personal data in order to evaluate and select suitable candidates for potential employment. In accordance with Regulation (EU) 2016/679 on the protection of personal data, EVERYPAY provides you with the following information regarding the collection and processing of your personal data. 1. Data Collection The personal data we collect is voluntarily submitted to EVERYPAY by you and includes the information contained in your CV and any accompanying documents. This data may include: full name, contact phone number, e-mail address, educational and professional background, etc. 2. Purpose The data is processed solely for the purpose of evaluating your qualifications for potential employment within EVERYPAY. 3. Legal Basis The legal basis for processing your personal data is your consent, which is provided upon submission of your CV. 4. Data Recipients and Transfers Your personal data will only be accessed by authorized personnel of EVERYPAY involved in the recruitment process. It will not be transferred to any third party or to any country outside the European Economic Area (EEA). 5. Data Retention In case you do not enter into an employment relationship with EVERYPAY, your personal data will be deleted permanently from our records, unless you have provided your consent to retain your CV for future opportunities. In that case, your data will be securely stored for up to two (2) years from the date of our last contact. EVERYPAY ensures that only authorized personnel have access to this data and that appropriate technical and organizational measures are in place to safeguard confidentiality and integrity. 6. Your Rights You have the right to: · Withdraw your consent at any time (without affecting the lawfulness of processing carried out before withdrawal) · Request access to your personal data · Request rectification or erasure of your data · Restrict or object to the processing of your data · Request data portability · Lodge a complaint with the Hellenic Data Protection Authority (www.dpa.gr) To exercise these rights, you can contact us here: dpo@everypay.gr or at the address: 25-29 Karneadou, 10675 Athens, for the attention of: Data Protection Officer. CONSENT FOR THE PROCESSING OF PERSONAL DATA By submitting your CV, you explicitly consent to the collection and processing of your personal data as described [above]. You may revoke this consent at any time, by contacting us at: dpo@everypay.gr.

Responsibilities

The Data Platform Engineer will be responsible for designing, building, and maintaining the core data platform supporting analytics and business intelligence, focusing on developing robust data ingestion pipelines and scalable data infrastructure. Key activities include architecting and maintaining ETL/ELT pipelines, setting up data platform infrastructure, and collaborating with the BI team to deliver reliable data models.