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Data Engineer

We currently have a vacancy for a Data Engineer fluent in English, to offer his/her services as an expert in Valletta, Malta. The work will be carried out either remotely or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site.

Your tasks

  • Design, develop, document, and maintain ETL/ELT processes, data integration, cleaning, transformation, dissemination and automation processes;
  • Design, develop, document and maintain data architecture, data modelling and metadata;
  • Develop and support data warehouse/lakehouse architectures and data processing ensuring data quality, lineage, auditing, metadata, logging, linkage across datasets and impact assessments;
  • Develop and maintain business intelligence models, interactive dashboards, reports and analytics using tools such as Databricks, Jupyter Notebooks, and Power BI;
  • Design, develop, document, improve and maintain the Data Warehouse/Lakehouse ecosystem (e.g. the DataDevOps lifecycle, architecture);
  • Contribute to the definition and documentation of data governance policies, procedures, standards, and metadata models.
    • University degree in IT or relevant discipline, combined with minimum 6 years of relevant working experience in IT;
    • Experience with development and data processing using e.g. Python, SQL, Power M and DAX;
    • Experience with structured, semi-structured and unstructured data types and related file format (e.g. JSON, Parquet, Delta);
    • Experience with gathering business requirements and transforming it into data collection, integration and analysis processes;
    • Experience in Microsoft On-Prem and Azure Data Platform tools (such as Azure Data Factory, Azure Functions, Azure Logic Apps, SQL Server, ADLS, Azure Databricks, Microsoft Fabric/Power BI, Azure DevOps, Azure AI Services, PowerShell);
    • Experience in CI/CD lifecycle using Azure DevOps;
    • Experience in Databricks ecosystem, Apache Spark and Python data processing libraries;
    • Experience with Data Modelling principles and methods;
    • Experience with Data Lakes and Data Lakehouse architecture, concepts and governance;
    • Experience with Data Integration and data warehouse/lakehouse modelling techniques, concepts and methods (e.g. SCD, Functional Engineering, Data Vault, Data Streaming, etc);
    • Experience with data governance and data management standards, policies, processes, metadata, quality, etc;
    • Experience with WebAPIs and OpenAPI standard;
    • Knowledge of DAMA Data Management best practices and standards;
    • Knowledge of Data Governance and Discovery tools such as Azure Purview;
    • Knowledge of Master data and reference data management concepts;
    • Knowledge of Business glossaries, data dictionaries, and data catalogues;
    • Knowledge of Moodle or other Learning Management System;
    • Excellent command of the English language.

If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference (18529/04/2025).

We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.

EUROPEAN DYNAMICS (ED) (www.eurodyn.com) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.

As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.

EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

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What You Should Know About Data Engineer, European Dynamics

Are you a skilled Data Engineer looking to take your career to new heights with an amazing opportunity? European Dynamics, a renowned leader in Software, Information, and Communication Technologies, is on the hunt for a talented Data Engineer fluent in English. Whether you're looking to work remotely or join our team on-site in beautiful Valletta, Malta, you’ll be part of a dynamic development team collaborating closely with a major client’s IT squad. As a Data Engineer, you'll be designing, developing, documenting, and maintaining ETL/ELT processes as well as data architectures and models. You'll also have the chance to manage data warehouses and lakehouse systems, ensuring top-notch data quality and comprehensive auditing processes. If you love data processing, transforming raw data into insightful analytics using tools like Databricks and Power BI, this is your perfect match! Bring your expertise in Python, SQL, and Microsoft Azure Data Platform tools and showcase your abilities in a multilingual and multicultural environment. With a minimum of 6 years of relevant experience and a passion for data governance, you’ll contribute to setting high standards and policies for data management and processing across various data types. Join us at European Dynamics to unlock exciting career prospects and make a significant impact in the IT world. Ready to dive in? We're excited to hear from you!

Frequently Asked Questions (FAQs) for Data Engineer Role at European Dynamics
What are the key responsibilities of a Data Engineer at European Dynamics?

As a Data Engineer at European Dynamics, the key responsibilities include designing and developing ETL/ELT processes, maintaining data architecture, and supporting data integration efforts. You will work closely with both your development team and the client’s IT staff to create efficient data warehouses and ensure the quality and accessibility of data across various platforms.

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What qualifications do I need to become a Data Engineer at European Dynamics?

To become a Data Engineer at European Dynamics, you should have a university degree in IT or a related discipline with at least 6 years of working experience in relevant IT roles. Additionally, expertise in Python, SQL, data processing, and knowledge of Microsoft Azure Data tools is essential for succeeding in this role.

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Which tools are used by Data Engineers at European Dynamics?

Data Engineers at European Dynamics utilize various tools, including Databricks, Jupyter Notebooks, Power BI, and tools from the Microsoft Azure Data Platform such as Azure Data Factory, Azure Databricks, and more. Familiarity with these tools helps in the development and automation of data integration processes.

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How important is data governance for the Data Engineer role at European Dynamics?

Data governance is crucial for the Data Engineer role at European Dynamics. You will contribute to the definition and documentation of data governance policies, ensuring the compliance and quality of the data. Your expertise in this area will help maintain the integrity and standardization of the data lifecycle.

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What growth opportunities exist for a Data Engineer in European Dynamics?

European Dynamics champions career development, providing Data Engineers with ample opportunities to grow within the company. Not only can you expand your technical expertise by working on diverse projects, but you can also benefit from a supportive environment that encourages ongoing professional development and learning.

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Common Interview Questions for Data Engineer
Can you explain your experience with ETL/ELT processes and their importance in data engineering?

When answering this question, provide examples of specific ETL/ELT processes you've managed. Highlight their importance in transforming raw data into usable formats, ensuring data quality, and improving data accessibility for stakeholders.

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Describe a complex data integration project you've worked on. What challenges did you face?

It's important to detail a particular project, mentioning the complexity of the data sets involved, the methods used for integration, and how you tackled any challenges, such as data format discrepancies or scaling issues, to ensure a successful outcome.

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What is your experience with data warehousing and Lakehouse architecture?

Discuss your direct experience with data warehousing and Lakehouse architecture, mentioning any specific tools and methodologies you've employed. Emphasize the advantages of these architectures in handling large volumes of structured and unstructured data.

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How do you ensure data quality and integrity throughout the data lifecycle?

When responding, highlight your strategies for data quality assurance, such as implementing robust validation checks, regular audits, and employing data governance protocols. Provide examples of how these practices have positively impacted past projects.

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Can you give an example of how you have utilized business intelligence tools to generate insights?

Share a specific instance where you used business intelligence tools like Power BI or Databricks. Describe the insights you generated and how they influenced business decisions to demonstrate your ability to convert data into actionable intelligence.

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What programming languages are you proficient in and how do they relate to your data engineering experience?

List the programming languages you are proficient in, particularly within the data engineering context. Provide examples of how you've utilized these languages, such as Python or SQL, in developing data processing scripts or integrating data across platforms.

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How do you approach gathering business requirements for a data engineering project?

Discuss your process for engaging with stakeholders to gather business requirements, emphasizing your communication skills and ability to translate those requirements into technical specifications for data integration and analytics.

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What do you think are the key metrics to monitor in a Data Lakehouse environment?

Identify key metrics such as data ingestion rates, query performance, data quality scores, and user adoption rates. Explain how monitoring these metrics can help ensure the effective operation of a Data Lakehouse environment.

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In your opinion, what are the emerging trends in data engineering?

Be ready to discuss current trends, such as the rise of real-time data processing, increased importance of data governance, and the growth of cloud-based solutions. Offer insights into how these trends may impact the Data Engineer role in the coming years.

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How do you stay updated with the latest developments and best practices in data engineering?

Share how you pursue continuous learning, whether through online courses, workshops, attending conferences, or following industry thought leaders. This shows your commitment to growing your expertise and keeping up with industry changes.

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DATE POSTED
April 14, 2025

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