Accounting / Audit

Cyprus

KPMG LIMITED

Data Science & Analytics

In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure. You will collaborate closely with data analysts, data scientists, and business stakeholders to ensure data is accurate, accessible, and readily available to support decision-making across the organization.&nbsp;The Opportunity:<ul><li>Design and implement robust ETL/ELT processes to move and transform data from various sources.</li><li>Develop and optimize SQL queries, stored procedures and views to support data processing and reporting.</li><li>Collaborate with analysts, developers, and stakeholders to understand data needs and translate them into technical solutions.</li><li>Ensure data integrity, consistency, security, and availability across systems.</li><li>Monitor pipeline performance and troubleshoot any issues or failures in real time.</li><li>Maintain and document data architecture, metadata, and data lineage.</li><li>Work with cloud services (e.g., Azure, AWS, GCP) and on-premises environments as needed.</li></ul>&nbsp;The Requirements:<ul><li>University Degree / Master with a minimum grade of 2:1 (or equivalent) in Computer Science, Information Systems, Engineering or any similar subject.</li><li>At least 2 years of relevant working experience as a Data Engineer or in a similar role.</li><li>Proficiency in SQL and experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL, Oracle).</li><li>Hands-on experience with ETL tools (e.g., SSIS, Azure Data Factory, ODI).</li><li>Proficiency in programming/scripting languages, such as Python.</li><li>Solid understanding of data modeling, data warehousing concepts, and performance tuning.</li><li>Familiarity with cloud data platforms such as Azure Synapse, Snowflake, BigQuery, or Redshift will be considered as an advantage.</li><li>Experience with SAP data migration or integration projects will be considered as an advantage.</li><li>Familiarity with CI/CD tools and DevOps practices for data workflows will be considered as an advantage.</li><li>Experience working in Agile environments will be desirable.</li></ul>&nbsp;Personal Characteristics:<ul><li>Strong analytical and interpretative skills.</li><li>Collaborative team player with a commitment to excellence and continuous learning.</li><li>Strong organizational skills and ability to work under pressure and problem-solving skills.</li><li>High attention to detail.</li><li>Adaptable and willing to learn new technologies and tools.</li></ul>&nbsp;&nbsp;Why join KPMG?The Benefits:&nbsp;Financial<ul><li>Competitive remuneration package (incl. 13th salary)</li><li>Bonus Scheme that reflects firm &amp; individual performance</li><li>Provident Fund</li></ul>&nbsp;Health and Wellbeing<ul><li>BeWell@KPMG – a holistic programme to support employees’ wellbeing</li><li>In-house occupational psychologist</li><li>Occupational doctor</li><li>KPMG Gym benefits</li><li>Running Club</li><li>Social committee</li></ul>&nbsp;Life at KPMG<ul><li>Excellent opportunities for career development &amp; advancement</li><li>Hybrid working model (working from the office, client, and home)</li><li>Flexible working hours</li><li>Flexible Lunch Break</li><li>Friday afternoon off</li><li>Flex Fridays for July &amp; August (Reduced Hours – 36hours)</li><li>Reduced hours &amp; Mother’s scheme working options</li><li>Paid Maternity &amp; Paternity Leave</li><li>Paid Sick Leave</li><li>Holiday entitlement from the 1st day you join</li><li>Global Mobility programme</li><li>Dress for your Day</li><li>Free Parking</li></ul>&nbsp;If you believe that you have the above qualifications and this opening sounds interesting&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://career5.successfactors.eu/sfcareer/jobreqcareer?jobId=2440&amp;company=KPMGHEMAPROD">apply now</a>!&nbsp;All applications will be treated with the strictest confidence. Only successful applicants will be contacted.Should you have any queries in completing the online application form, please do not hesitate to contact us.T: 22 209196, E:&nbsp;<a href="mailto:recruitment@kpmg.com.cy">recruitment@kpmg.com.cy</a>

Data Engineer, Technology Consulting Department - Nicosia

Data Engineer, Technology Consulting Department - Nicosia

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