Equiti is a pioneering fintech firm and world-class provider of multi-asset fintech products - from liquidity solutions to in-house tech hubs to online trading platforms. With over 400 global specialists in 9 languages, Equiti provides clients with access to individual, professional, and institutional brokerage services in Europe, the Middle East, and Africa. 

At Equiti, we believe that financial opportunities can unlock potential for everyone, everywhere. We’re on a mission to deliver accessible online trading products around the world through education and accessibility.  

Think finance is stuffy? Think again.  

We see Equiti as a new breed of broker, and we are on the lookout for talented individuals who can perform and excel in a dynamic and innovative working environment. Our Data Department would like to welcome a detail oriented:  

Senior Data Engineer in our office in Cyprus. 

As a Senior Data Engineer will be responsible for working with, and on, data platforms to help spearhead the development of Equiti’s centralized data platform. The role will be tasked with delivering on the strategic roadmap for the data platform designed in tandem with the Chief Data Officer, Head of Data Engineering and Data Architect. You will collaborate with various stakeholders ranging from technical specialists to more business minded colleagues to ascertain requirements and scope out deliverables, ensuring scalable data solutions are built. 

Responsibilities: 

• Own and manage the end-to-end data platform, including data ingestion and processing while helping determine appropriate storage policies and access management processes 

• Deliver on the strategic roadmap for the data platform ensuring it aligns with the business goals and objectives 

• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs 

• Implement and maintain data governance practices, ensuring compliance with regulatory and security standards 

• Oversee data quality and data integration processes to ensure accurate and reliable data 

• Monitor and optimize data platform performance, scalability, and availability 

• Evaluate and select appropriate services and components to support data integration, transformation, storage, and analytics needs, considering factors such as cost, security, and scalability 

• Stay up to date with the latest advancements in cloud and on-prem data services and data management best practices, providing recommendations on adopting new technologies and methodologies to enhance our data platform 

• Collaborate with external vendors, partners, and cloud technical support to resolve any platform-related issues and ensure smooth operations. 

• Lead and manage a team of data engineers and database developers, providing technical guidance, mentorship, and support to ensure the successful delivery of data platform initiatives 

• Foster a collaborative and innovative team environment, promoting knowledge sharing, continuous learning, and growth opportunities for team members 

• Communicate effectively with technical and non-technical stakeholders, presenting insights and recommendations derived from data analysis 

Skills & Competencies: 

• Strong expertise in cloud data services and components (with experience in Azure technologies including Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Databricks, and Azure Synapse Analytics as an asset) 

• Experience in designing and implementing data architectures, data pipelines, and data models using cloud technologies 

• Proficiency in SQL, ETL processes, and data integration techniques 

• Solid understanding of data governance, data security, and data quality principles 

• Strong problem-solving skills and ability to analyze complex data requirements and translate them into scalable solutions 

• Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. 

• Azure certifications, such as Microsoft Certified: Azure Data Engineer Associate, are a plus 

Experience Requirements: 

• Professional experience working on, or owning a data platform 

• Experience as a Data Engineer, or a similar role in a mid-size or larger organization, preferably in the fintech or financial services domain 

• Experience in designing and implementing data architectures, data pipelines, and data models  

• Previous experience leading and managing a team of data engineers  

• Working experience in a scale-up business, with bonus of being within FinTech. 

• Knowledge/experience in broking, Forex or financial markets. 

• Experience in data API design. 

Perks: 

Each of our offices has its special perks; be it ‘no ties’, free lunches, charity events, or a hybrid work policy – but whenever you walk into an Equiti office, you’re sure to see a friendly face. We encourage international collaborations and always keep our eyes open to how we can do more. 

The benefits you can expect at your Equiti workplace include: 

• Competitive salary package 

• Performance-based bonus 

• Medical insurance coverage for employees and family members 

• Smart working options 

• Employee wellness initiatives 

• Personalized career development 

• Company lunch in the office 

• Regular company events 

With energy, drive, and imagination, there’s no limit to where your career can go at Equiti. With a diverse workforce and geographical spread of offices, we strongly support career development initiatives as well as provide a range of opportunities for professional and life experiences. 

Equiti is an equal opportunity employer. 

“Equiti” refers to a group of companies consisting of seven regulated financial services companies licensed to operate in the respective jurisdictions of their incorporation, in addition to our tech and marketing hubs. Equiti has presence in Africa, Europe, and the Middle East.