26/10/2026

Are you a talented Data Engineer passionate about modern data architectures, Databricks, and cloud ecosystems? Do you excel at designing scalable pipelines, optimizing distributed workloads, and implementing best-in-class software engineering practices? If yes, this is your opportunity to join a world-leading global technology and consulting organization where your work will directly drive high-impact enterprise data solutions!

About the role

We are looking for a skilled Mid Data Engineer to join an established, market-leading global IT and technology consulting organization. In this role, you will take ownership of designing, building, and maintaining robust, scalable data pipelines and analytical workloads primarily leveraging Databricks and cloud platforms such as Azure. Working alongside delivery teams, architects, and cross-functional stakeholders, you will ensure high reliability, optimal processing performance, and top-tier data quality across enterprise environments.

What’s in it for you as a Data Engineer:

• Competitive remuneration package aligned with global technology industry standards.
• Modern and flexible hybrid work model supporting work-life balance.
• Comprehensive group private health and medical insurance scheme.
• Continuous learning opportunities, access to accredited training platforms, and professional cloud/data certifications.
• High-scale exposure to complex, enterprise-level digital and data transformation projects.

What you’ll be doing as a Data Engineer:

• Design, develop, and maintain high-performance data processing pipelines utilizing Python, PySpark, and SQL.
• Build, scale, and optimize workloads on Databricks and Apache Spark (or similar distributed processing frameworks).
• Ensure end-to-end data quality, reliability, and performance across all enterprise data workflows.
• Troubleshoot and resolve complex data processing bottlenecks and performance issues.
• Apply solid software engineering practices by writing unit, integration, and regression tests, while integrating CI/CD pipelines.
• Actively participate in code reviews and maintain version control best practices (Git).
• Produce clear technical documentation outlining architectural decisions, data designs, and flow diagrams.
• Collaborate closely with architects, data engineers, business stakeholders, and platform teams in an Agile delivery framework.

What we’re looking for in a Data Engineer:

• Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, or a related field.
• 3+ years of solid professional experience in Data Engineering within enterprise environments.
• Strong hands-on expertise with Python and Apache Spark (PySpark).
• Proven track record with Databricks (or similar lakehouse/data platforms) and pipeline construction.
• Solid background in core software development practices (Git version control, testing methodologies, code reviews).
• Demonstrated experience in troubleshooting performance bottlenecks and ensuring data quality.
• Familiarity with Azure data services (such as Azure Data Factory, Azure Storage, Azure DevOps) or equivalent cloud platforms is a strong plus.
• Solid understanding of SQL and experience with CI/CD automation and Agile delivery practices.
• Fluency in English (both written and verbal) and strong problem-solving capabilities.

3+ years of solid professional experience in Data Engineering within enterprise environments.

If this Data Engineer vacancy sounds like you, apply now!

Have some questions first? Contact Valentina Dinamarka at +306949349444, otherwise, feel free to contact me at vdinamarka@randstad.gr.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.

26/10/2026

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.

What’s in it for you:

• Competitive remuneration package.
• Hybrid work model.
• Private health insurance.
• Continuous training and exposure to global best practices.

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

Your Key Responsibilities:

• 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).

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).

2+ years of experience in Data Engineering

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.

26/10/2026

Are you ready to take generative AI beyond proofs-of-concept and build autonomous, agentic workflows that drive enterprise automation? We are looking for an AI Engineer (Mid/Senior) to join a pioneering technology team focused on designing and scaling LLM-powered applications for the insurance and financial services sectors.

In this role, you will take ownership of use cases across the entire project lifecycle—from initial sizing and solution design through rigorous UAT testing and production go-live. If you are passionate about orchestrating complex agentic flows, optimizing latency and concurrency in production, and working directly with business stakeholders to transform workflows, this is the ideal next step for your career.

You will join a forward-thinking, technically ambitious environment where your code directly automates high-impact enterprise operations. In return, you will receive:

• A competitive compensation package commensurate with experience.
• Hybrid working model
• Private health insurance
• The opportunity to work on cutting-edge, production-grade LLM architectures, agentic pipelines, and cloud ecosystems.
• A collaborative engineering culture that promotes technical ownership, continuous learning, and career advancement.

As an AI Engineer, you will design, deploy, and refine robust AI workflows integrated seamlessly with enterprise core systems. Your key responsibilities will include:

• LLM & Agentic Workflows: Build autonomous agentic architectures and LLM workflows tailored to automate multifaceted business operations.
• Backend & Orchestration: Develop high-performance backend microservices in Python (FastAPI) and orchestrate multi-system data flows using workflow platforms such as n8n.
• Prompt Engineering & Reliability: Design optimized prompts, define structured outputs, implement resilient fallback logic, and continuously fine-tune accuracy through iterative UAT cycles.
• Cloud Deployment & DevOps: Deploy scalable solutions across Azure (Azure Container Apps, Kubernetes) leveraging Azure Repos and Azure DevOps Pipelines.
• Production Engineering: Proactively identify and resolve production challenges, including timeouts, concurrency bottlenecks, and API latency.
• Technical Guidance: Author solution design documentation, deliver accurate effort estimates, and mentor/support junior engineers within the team.

To excel in this position, you should combine strong Python software engineering practices with hands-on experience shipping real-world AI applications to production. We are looking for:

• Experience: 2–5 years of professional engineering experience with a demonstrable track record of delivering AI applications into production.
• Programming & LLM Stack: Strong proficiency in Python (FastAPI) along with hands-on experience using Azure OpenAI (or comparable LLM APIs), Retrieval-Augmented Generation (RAG), and agentic design patterns.
• Frameworks & Orchestration: Practical familiarity with orchestration frameworks such as LangChain / LangGraph and automation/workflow tools like n8n.
• Core Engineering Fundamentals: Solid command of RESTful APIs, SQL databases, Git version control, and CI/CD pipelines.
• Languages & Communication: Fluent English communication skills with the ability to articulate technical concepts to cross-functional teams.

While not mandatory, experience in any of the following areas will be considered an asset:

• Integration experience with Salesforce or Enterprise RPA platforms.
• Hands-on exposure to intelligent document processing (OCR, automated document parsing, handling complex attachments).
• Domain experience within the banking, fintech, or insurance industries.

2-5 years of experience in AI Engineering

23/10/2026

Are you a data enthusiast who excels at transforming complex datasets into actionable business intelligence?

We are seeking a highly skilled and analytical Data Analyst to join the Data Analytics and Business Intelligence team of ZeniΘ. In this role, you will be responsible for analyzing business and operational data, identifying trends and insights, and transforming complex information into meaningful and actionable intelligence that supports data-driven decision-making.

The successful candidate will work closely with business stakeholders across the organization to understand their operational challenges, reporting requirements, and analytical needs. You will leverage data from the organization's Data Platform and Data Warehouse environment, based on Databricks and Synapse respectively, and use tools such as Microsoft Power BI and SQL to analyze information and deliver reports, dashboards, and insights.

Additionally, you will collaborate with internal stakeholders and technical teams to ensure the accuracy, consistency, and quality of data used for analysis. You will contribute to the continuous improvement of reporting and analytics capabilities while applying best practices in data governance, security, and data quality.

The company values expertise and provides an environment where you can truly own the strategic vision and drive impactful corporate evolution. In return, you will receive: 

• A competitive remuneration package.
• Hybrid Working Schedule
• Monthly ticket restaurant, besides the salary package
• Monthly wellness allowance
• Employees’ discount program on company’s products (gas,electricity)
• Welcome pack with all the necessary IT equipment
• Multinational, friendly, and free of any kind of discrimination workingenvironment
• Career growth opportunities upon performance appraisal
• Ongoing training funded by the company

ZeniΘ is committed to providing a safe, flexible and respectful environment for all employees and clients, free from all forms of discrimination, bullying and sexual harassment. The aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best, regardless of race, ethnicity, color, religion, creed, gender, pregnancy, national origin, nationality, age, physical and mental disability, marital status, sexual orientation, and any other characteristic.

As our Data Analyst, you will bridge the gap between business needs and complex data infrastructure, creating intuitive visualizations and driving analytical excellence. Your key responsibilities will include: 

•  Collaborate with business stakeholders to understand business processes, analytical requirements, and reportingneeds, translating them into effective data-driven solutions.
•  Analyze large and complex datasets to identify trends, patterns, anomalies, and opportunities for businessimprovement.
• Develop and maintain reports, dashboards, visualizations, and analytical solutions using Microsoft Power BI.
• Write and optimize SQL queries to retrieve, analyze, validate, and combine data from multiple sources.
•  Define, monitor, and analyze KPIs and business metrics, ensuring data accuracy, consistency, and reliability.
• Perform ad-hoc analysis and communicate actionable insights and recommendations to technical and non-technical stakeholders.
•  Collaborate with BI Developers and Data Engineers to understand and utilize available data models, platforms,and enterprise data sources.
•  Support data quality, governance, documentation, and the continuous improvement of reporting and self-serviceanalytics capabilities.

To succeed in this position, you should combine strong analytical acumen with hands-on technical proficiency in SQL and modern BI tools. We are looking for: 

• Strong analytical and problem-solving skills with the ability to translate complex data into meaningful businessinsights.
•  Strong business acumen and ability to understand business processes and requirements.
• Excellent communication and stakeholder management skills.
• Strong attention to detail, accuracy, and data quality.
• Ability to manage multiple priorities and work effectively in a dynamic and collaborative environment.
•  Familiarity with Agile methodologies and excellent written and verbal English communication skills.

Educational Level:

• Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Economics,Engineering, or a related field.
•  A Master’s Degree in a relevant field will be considered an asset.

Other Knowledge:

• Strong knowledge of Microsoft Power BI, including Power BI Desktop, Power BI Service, reporting, dashboards,and data visualizations.
• Strong knowledge of SQL and experience working with relational databases and complex datasets.
• Understanding of data models, Data Warehouses, Data Lakes, and modern analytics architectures.
• Experience or familiarity with Databricks, Azure data services, and Lakehouse technologies will be considered anadvantage.
• Knowledge of Python or R, statistical analysis, and data exploration techniques will be considered an asset.
•  Understanding of data quality, data governance, security, and privacy principles.
• Experience working with enterprise data from CRM, ERP, Billing, Finance, or other operational systems isconsidered an advantage.
• Relevant certifications, such as Microsoft Power BI Data Analyst Associate (PL-300), will be considered an asset.

Work Experience

• 2+ years of professional experience in Data Analysis, Business Intelligence, Business Analytics, or a related field.
• 2+ years of hands-on experience analyzing data and developing reports and dashboards using Microsoft Power BIor similar Business Intelligence tools.
• Strong practical experience with SQL and relational databases.
• Experience working with complex datasets from multiple business and operational systems.
•  Experience developing and interpreting KPIs, metrics, trends, and analytical reports.
•  Experience working with enterprise data management platforms, Data Warehouses, Data Lakes, or similarenvironments will be considered an advantage.
• Experience working with Databricks or consuming data from a Databricks-based Data Platform or DataWarehouse will be considered an advantage.
•  Experience working in Agile or similar project delivery environments will be considered an asset.

2+ years as a Data Analyst