Data Engineer

Take the lead in one of the most demanding data environments in the Banking sector. We are looking for a Senior Data Engineer to join a global consulting powerhouse and serve as a technical anchor for high-impact projects.

This role sits at the intersection of enterprise stability and cloud evolution. You will bridge trusted Microsoft on-premise architectures (MS SQL Server, SSIS, SSRS) with cutting-edge cloud engineering, actively migrating and scaling mission-critical banking data pipelines into a modern Azure Data Lake & Databricks ecosystem.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

As a Senior Data Engineer, you will initially immerse yourself in the bank’s data landscape, managing operations and enablement tasks.

• Design, implement, and maintain robust ETL/ELT pipelines using SSIS and advanced T-SQL.

• Maintain, optimize, and streamline existing MS SQL Server, SSIS, and SSRS environments, ensuring zero-downtime and high data integrity for critical financial reporting.

• Build scalable batch and streaming pipelines leveraging Databricks (PySpark / Spark SQL) and Delta Lake patterns for high-throughput banking datasets.

• Drive performance tuning on MS SQL Server databases (indexing, execution plans, partitioning, query optimization) in high-volume banking environments.

• Ensure data governance, data lineage, security, and integrity across mission-critical systems.

• Collaborate with data architects and business analysts to migrate legacy processes to modern cloud data platforms (Azure Data Factory, Databricks).

𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀

What we are looking for:

• University degree in Computer Science, Software Engineering, or a related field.

• 3–5+ years of hands-on experience in Data Engineering, BI Development, or Database Administration.

• Strong proficiency in T-SQL and in-depth knowledge of MS SQL Server internals (stored procedures, views, performance profiling).

• Proven track record designing and supporting production ETL workflows using SSIS.

• Hands-on experience or working familiarity with Microsoft Azure (Azure Data Factory, ADLS Gen2, Azure Synapse, or Azure SQL DB).

• Domain background in Banking, FinTech, or Financial Services (core banking, loan/credit data models, or regulatory reporting frameworks).

• Solid grasp of relational and dimensional data modeling (Kimball methodology, star/snowflake schemas).

• Excellent analytical mindset, attention to data accuracy, and proactive troubleshooting skills.

• Fluency in English (written and verbal).

𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀

What’s in it for you:

• Competitive remuneration package.

• Hybrid work model.

• Private health insurance.

• Continuous training and exposure to global best practices.

𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻

Got any questions regarding this position? You can contact Konstantinos Adamopoulos at 6940080281, from Monday to Friday. Otherwise, feel free to contact me at kadamopoulos@randstad.gr.

We look forward to receiving your application, uploading your updated CV by clicking the 'apply now' option.

In case that your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. All applications are considered strictly confidential.