Data Engineer at Ocorian

, Northern Ireland, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

11 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, ETL/ELT Pipelines, Data Ingestion, Data Quality, Data Architecture, Data Warehouses, Data Lakes, Database Performance, Data Modelling, MS Fabric, Microsoft SQL Server, Data Governance, Data Security, Analytical Skills, Stakeholder Management

Industry

Financial Services

Description

Company Description Fund services | Corporate | Capital markets | Private client | Regulatory & Compliance We help clients succeed by unlocking new value through expertise, trust and scale. We deliver solutions that solve complex challenges faced by asset managers, financial institutions, corporates, high net-worth individuals and family offices. With a curious mindset, we ask the right questions to get to the right solution, faster. We collaborate to win together, sharing successes and shaping the future of our global business. Our culture of support and recognition provides the tools and opportunities for you to grow, while unlocking the most value for our clients and making your mark with Ocorian. Expertise: We deliver specialist, tech-enabled solutions for our clients grounded on deep industry expertise. Trust: We’re a trusted partner to over 8,000 clients globally. We are proud to have long-lasting partnerships with our clients. Scale: With more than 1,500 colleagues, we operate across 20+ countries, our scale enables us to support our clients globally and locally, providing a seamless client experience across borders and service lines. Job Description We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making. The successful candidate will work closely with PBI analysts, data scientists, and business stakeholders to ensure reliable, secure, and high-quality data solutions. This role requires strong technical expertise in data architecture, ETL processes, and cloud platforms, along with a collaborative mindset and a passion for improving data systems. Main Responsibilities Data Pipeline Development Design, develop, and maintain robust ETL/ELT pipelines. Build scalable data ingestion processes from multiple structured and unstructured sources. Ensure high data quality, integrity, and availability. Data Architecture & Infrastructure Develop and maintain data warehouses and data lakes. Optimize database performance and storage solutions. Implement best practices in data modelling (star/snowflake schemas). Cloud & Platform Management Deploy and manage data solutions on MS Fabric Work with distributed platforms specifically Microsoft SQL Server Monitor system performance and implement improvements. Collaboration & Support Partner with data analysts and data scientists to support analytics initiatives. Translate business requirements into technical solutions. Provide technical documentation and knowledge transfer. Governance & Security Implement data governance standards and controls. Ensure compliance with regulatory and security requirements. Manage access controls and data protection measures. #LI-JM1 #LI-Hybrid Qualifications Technical Skills Strong proficiency in SQL and Python. Experience building ETL/ELT pipelines (e.g., dbt cloud, ADF, Fabric Pipelines). Experience with relational and non-relational databases. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Familiarity with data warehousing concepts and dimensional modelling. PowerBI (not essential) Tools & Technologies (Examples) SQL Python Dbt cloud Fabric Fivetran Alteryx Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management. Ability to work independently and in cross-functional teams. High attention to detail and commitment to data quality. Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience). 3+ years of experience in data engineering or a related role. Relevant cloud certifications are advantageous. Additional Information All staff are expected to embody our core values that underpin everything that we do and that reflect the skills and behaviours we all need to be successful. These are: We are CLIENT CENTRIC – Clients are at the centre of our world, and we’re committed to providing expertise and specialist solutions to meet their most complex challenges. We are AMBITIOUS – We aim high. We think and act globally, seizing every opportunity to delight our clients and support our colleagues - wherever in the world they may be. We are AGILE – We act on our initiative to get things done for our clients. Our independence gives us the flexibility and freedom to keep things simple, efficient and effective. We are COLLABORATIVE – With a curious mindset, we ask the right questions to get to the right solution, for our clients faster. We collaborate to win together and share our successes. We are ETHICAL – We behave with integrity at all times and assume positive intent, building trust through responsible actions and honest relationships. Equal Opportunities for Everyone Please let us know if there’s anything we can do to make the process easier for you. You can reach us at [email protected]. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. information will be kept confidential according to EEO guidelines. Region: UK, CI and Ireland Jurisdiction: Belfast

Responsibilities

The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics and decision-making. Key duties include developing robust ETL/ELT processes, managing data architecture on cloud platforms, and ensuring high data quality and security.