Data integration engineer enables connected and clean data
Data Integration Engineers play an indispensable role in bridging fragmented data silos within an organization. They enhance visibility and reporting capabilities, ensuring data accuracy and supporting advanced analytics. These professionals are integral in designing efficient data pipelines, cleansing datasets, and upholding information integrity.
How Data Integration Engineer
will help your business
- Breaking data silos is crucial for facilitating seamless data flows between different departments within an organization
- Improving organizational visibility through data integration allows businesses to streamline operations
- Enhancing reporting involves ensuring that data quality is up to standard, which is critical for leveraging analytics
- Supporting analytics ensures that business intelligence tools and AI workloads are founded on clean, consistent data
- Data integration provides a unified and accurate view of organizational data
- They are pivotal in enhancing business efficiency by ensuring a seamless data flow across multiple systems
What is a Data Integration Engineer?
A Data Integration Engineer plays an essential role in modern businesses, ensuring the seamless flow of data across various platforms and systems. These professionals are integral in facilitating data-driven decision-making processes by effectively managing the Extract, Transform, Load (ETL) operations. They meticulously gather, cleanse, and organize data from different formats to make it ready for analysis and reporting.
Integration
Data Integration Engineers are tasked with combining data from multiple sources to provide a unified view, a process crucial to efficient decision-making and operation streamlining. They ensure data quality, consistency, and accessibility across diverse platforms through robust integration solutions.
Pipelines
Creating efficient data pipelines is a fundamental responsibility of Data Integration Engineers, as these structures facilitate seamless data transfer between systems. Modern tools are employed to automate workflows and standardize data transformations.
Data Cleansing
The data cleansing process is vital to preparing datasets for precise analytics, and modern data integration tools significantly simplify this task. Advanced engineering techniques are applied to refine and consolidate data, making it analytics-ready and enhancing its quality.
Data Integrity
Ensuring data integrity is a critical responsibility of a Data Integration Engineer, achieved through seamless ETL processes that maintain data consistency across platforms. Integration solutions are designed to manage data from diverse sources including legacy systems, databases, REST APIs, and FTP servers, ensuring accuracy and reliability.
We connect you with the best experts across a wide range of industries.
Thanks to our long-term experience and wide database of specialists, we can provide you with a qualified person within 72 hours.
deliver in
within 72 hours
completed projects
of the desired results
experience of
all of Europe
more than
on customers´sites
When should you use a Data Integration Engineer?
Companies should engage Data Integration Engineer when there’s a necessity to maintain data quality and consistency across various platforms, which is essential for making informed, data-driven decisions.
System Migration
During system migrations, leveraging the expertise of data integration engineers ensures seamless transitions and minimal disruptions.
Centralization
Data centralization is a key process where data integration engineers can significantly contribute to improving data quality and accessibility.
ETL Processes
ETL processes—Extraction, Transformation, and Loading—are core tasks in ensuring that data is accurately managed and utilized within an organization.
Data Needs
They facilitate instant availability of data across various applications, which is crucial for remaining competitive in dynamic markets.
How it works? It’s straightforward
Rapid Alignment
The Data Integration Engineer quickly understands existing data architecture, tools, and flows. From day one, they identify critical connections, reduce redundancies, and begin aligning sources to create a clear, consistent foundation for reliable data use across the organization.
Seamless Execution
With proven experience in complex IT environments, the Data Integration Engineer implements robust, scalable integrations with minimal disruption. They ensure clean data transfer between platforms, automate workflows, and prevent data loss or inconsistency while optimizing performance.
Our customers
Trusted by
Employees 
GQ Experts
GQ Experts
Explore a straightforward comparison between traditional employment and interim solutions, and gain valuable insights into the distinct advantages interim solutions can offer your company.
Employees
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Limited adaptability - fixed job roles and responsibilities
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Loss of motivation
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Long-term commitments for the company
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Higher overhead costs due to benefits, taxes and insurance
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Training and development costs
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Administrative burden - multitude of administrative tasks
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hidden costs like paid leave and doctor visit allowance
GQ professionals
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Our expert does not need training and brings high added value
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Can start immediately
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Provides own tools and equipment
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Exactly defined working period, long / short term contract
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Does not increase your headcount
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Easy budget planning
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1 invoice = no hidden costs
Compare your real costs
In assessing the costs of an interim expert versus a permanent employee, it’s important to consider more than just the salary. Take a look at the simple calculator.
Employee
GQ Interim Expert
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Top Manager Position Employee
Fixed salary 5 000,00€ per Month Bonus 13 month pay, 14 month pay 833,00€ per Month State Contributions 2 053,33€ per Month Paid vacation, doctor visits 1 340,73€ per Month Equipment (car, notebook, phone, etc.) 1 000,00€ per Month Executive search fee 1 250,00€ per Month Total TOP manager costs per Employee 11 477,40€ per Month TOTAL cost per Employee 137 728,76€ per Year 
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Top Manager Position GQ Interim
Fixed salary 10 000,00€ per Month Bonus 13 month pay, 14 month pay 0 € per Month State Contributions 0 € per Month Paid vacation, doctor visits 0 € per Month Equipment (car, notebook, phone, etc.) 0 € per Month Executive search fee 0 € per Month Total TOP manager costs per Employee 0 € per Month TOTAL cost per GQ interim 120 000,00€ per Year 
Endorsements
“We value our clients’ feedback. Discover why they trust and appreciate GQ Interim’s services through their testimonials.”
“We turned to GQinterim for an Interim Finance Director, and they delivered promptly. The expert quickly grasped our financial structure and implemented improvements that stabilized our finances. Their professionalism and speed were impressive.”
Viktor, Human Resources , Hella Lighting s.r.o.
“GQinterim supplied us with a highly capable Interim Plant Manager on short notice. Thanks to their expertise, we optimized production flow and resolved operational challenges. Their fast service and knowledgeable expert made a big difference.”
Roland, Tech Head of Projects, Schaeffler Group
“When relocating our plant to a new location, GQinterim provided us with exceptional interim support. The expert they assigned ensured smooth coordination of the entire process. The quick action and expertise were invaluable during this critical phase.”
Paul, Plant Relocation Specialist, Continental
“Our collaboration with GQinterim helped us find an experienced Quality Manager in record time. The expert’s attention to detail and problem-solving approach significantly enhanced our production quality. We highly appreciate the swift and professional service.”
Alexander, Plant Manager, Valeo
“We needed a skilled Logistics Manager urgently, and GQinterim delivered quickly with a top-tier expert. The professional quickly adapted to our processes, streamlining operations and improving supply chain efficiency. Their rapid response and quality service exceeded our expectations.”
Elias, Logistics Manager, Magna International
“I am satisfied with the progress of the project secured by GQ, the communication is adequate, there are ways to get in touch if need be. I appreciate the flexibility and directness in negotiations. GQ is fully aware of what the consequences of a negative situation would be, so they approached the problems professionally and […]
Miroslav, Senior Manager PQ, ZKW
“I would like to thank GQ Interim for current cooperation, as I am very satisfied with how they communicate with me and listen to my requests. It is evident that they value my experience and knowledge, which I apply when working with the customer. So far, I haven’t had any issues – if I had […]
George, Project Manager/Launch Manager, MAGNA Electronics
“The care provided by GQ Interim is exceptional. All misunderstandings were resolved very quickly. I rate the cooperation positively, and I hope it won’t be the last.”
John, Senior Quality Engineer, ADHEX Technologies
“The people at GQ are professionals! Whenever I need support in solving any issue, they are always there to help. In the past, I was also in the position of a GQ customer when they provided people for my project. Since I was always satisfied with their services, I started working with them as a […]
Greg, Lean Manager – Process Improvement, TREVES
“I am extremely satisfied with the agency. The support from the agency is 100%, and invoice payments are always on time. I really have nothing to criticize.”
Martina, Plant Manager, Lear Corporation Seating
“I have collaborated with GQ on several projects, and all of them turned out very positively. The advantage is that they have a lot of projects, so as soon as one project ends, they immediately have something new for me. Of course, legal and financial security is also a big positive. Honestly, I can’t recall […]
Joseph, Logistics Planner, MAGNA Electronics
“The candidate provided by GQ exceeded our expectations, completing tasks and delivering the expected results. We consistently found a collaborative path to reach our desired goals. What I value most about GQ is their proactive approach, their clear effort to help, and their deep understanding of our needs. The communication has always been pleasant and […]
Livia, Human Resources & Safety Coordinator
“Over the past 2 years, GQinterim has provided me with projects that perfectly match my profile. With each placement, I received sufficient support in presenting my profile and was given enough space to showcase myself to the client. Collaboration with GQinterim is smooth, the atmosphere is family-like, and the support during changes is excellent. I […]
Thomas, Interim Quality Management Support
“Working with GQinterim has been one of the best decisions of my career. What started as a short-term project of just under 3 months has now turned into a partnership that’s lasted more than 3 years. Throughout this time, I’ve only had positive experiences—there hasn’t been a single moment of doubt. GQinterim is a professional […]
Mgr. Martin, Resident engineer
Key features of effective
Data Integration Engineer
Pipeline Design
Pipeline design is a critical aspect of data integration that involves constructing automated workflows to standardize and expedite data transformation while removing bottlenecks. An interim Data Integration Engineer is tasked with developing these efficient data pipelines, which facilitate seamless data flow from various sources to analytics platforms. By employing tools such as Apache Airflow and AWS Glue, the engineer ensures that data pipelines are capable of handling large volumes of data, remain automated, and are scalable.
These pipelines integrate ETL processes to cleanse, transform, and load data into warehouses in a timely manner. The implementation of modern tools for automation and testing ensures smoother data transitions, ultimately enhancing the utility of data for informed decision-making.
ETL Expertise
ETL expertise is pivotal for an interim Data Integration Engineer, as these tools facilitate the extraction, transformation, and loading of data from multiple sources into target systems. FineDataLink offers a low-code platform that simplifies ETL tasks, supporting real-time data synchronization with features like drag-and-drop operations. To maintain quality and consistency, ETL pipelines are meticulously developed and managed, efficiently cleaning, transforming, and enriching data.
Legacy ETL modernization is undertaken by refactoring various tools into lightweight, cloud-native pipelines. Additionally, prebuilt ELT and ETL frameworks ensure consistent naming conventions, auditable processes, and clear data lineage, which are crucial for effective data ingestion and integration solutions.
Data Governance
Data governance is a fundamental component that addresses potential business risks and ensures data quality in initiatives like product development and customer retention. An interim Data Integration Engineer contributes by establishing governance processes that create a unified virtual data layer, enhancing centralized data management across distributed environments. Incorporating governance and security measures into data lake solutions enables the secure storage and analysis of vast datasets and multiple data types from various sources.
Certified data integration consultants further reinforce data trust and compliance through integrated profiling, lineage, and policy controls. Effective data governance not only facilitates seamless data flow between departments but also enhances the organization’s capability to provide a comprehensive business overview.
Cross-System Knowledge
Cross-system knowledge is imperative for an interim Data Integration Engineer, as they ensure seamless data flow and integration between disparate systems. Mastery of ETL processes enables these professionals to transform data into a format that is usable for analysis across platforms. Proficiency in programming languages is essential for managing data manipulation and integration tasks.
Additionally, maintaining data quality and consistency across systems ensures the reliability of insights generated for decision-making purposes. Engineers utilize a range of data formats and integration tools to streamline these processes and enhance data accessibility, playing a crucial role in facilitating the creation of actionable business insights.
Interested in
Data Integration Engineer
to improve your business?
At GQ Interim, we’ve successfully placed Interim Data Integration Engineers with leading clients across multiple industries, delivering measurable improvements in project execution, strategic planning, and leadership during transitions.
Our experience, paired with a proven approach, ensures that each Data Integration Engineer brings exceptional value, turning challenges into opportunities for sustainable growth.
- Immediate access to expert leadership
- Proven expertise in managing complex projects
- Drives measurable business improvements
- Customized solutions across industries
- Enhances operational efficiency and project outcomes
Benefits of working with us
Flexibility
We highly value the ability to adapt quickly, offering swift deployment to meet the varying demands of projects in different locations.
Professionalism
We partner only with top-tier professionals and expect the highest quality of service to ensure your business thrives.
Attitude
We require a professional attitude, focusing on strong work ethics and adherence to the highest standards in every task.
We provide top- level experts
Our experts are ready to engage in your projects immediately.
Quality Manager
HU
Available in 72h
from 550€/day
Environment and Safety Expert
CZ, SK
Available in 72h
from 380€/day
Production Manager
SK
Available in 72h
from 400€/day
Senior Quality Consultant
SK
Available in 72h
from 450€/day
Interim Quality Consultant
SK, CZ
Available in 72h
from 420€/day
IM specialista, technolog vstřikování plastů
Contract type: Interim
CZ
27. Oct
from 250€/day
Word from our CEO
"A Data Integration Engineer turns disconnected data into unified, business-ready intelligence."
Whether scaling operations or modernizing legacy systems, a Data Integration Engineer plays a pivotal role in enabling consistent, real-time access to critical information. By building clean, automated bridges between tools and teams, they unlock smarter decisions, faster execution, and long-term data reliability across the enterprise.
CEO at GQ Interim
Key duties of
Data Integration Engineer
Mapping
Source mapping involves identifying the origins of data within systems, which is essential for effective data integration. Engineers keep track of where data is coming from to ensure that it aligns with the desired format and structure. This process forms the basis for subsequent data integration tasks, helping specialists manage and transform data accurately. Understanding how data sources map to each other is crucial for maintaining data integrity and facilitating seamless data flow across systems.
Data Extraction
Data extraction is a vital component of the data integration process, facilitating automation and enhancing productivity while reducing overhead costs. Modern data integration tools streamline the cleaning and transforming of data from various sources, rendering it ready for analytics. These processes enable AI and machine learning applications by ensuring smooth data movement and transformation across systems with minimal interruptions. Scalable data processing pipelines are crucial in handling real-time and batch data extraction efficiently. This step is foundational for unifying data access, maintaining consistency, and supporting broader data integration strategies.
Alignment
Schema alignment is essential for achieving data consistency and quality across multiple data sources. This process ensures a unified data view, fostering effective operations and decision-making within organizations. Through data modeling and schema design, data is organized efficiently, particularly in data warehouses where structured data must support complex querying and analytics. Robust schema alignment not only centralizes and organizes data but also underpins advanced analytics and machine learning by maintaining data quality and accessibility. It is critical for supporting data lake solutions, where diverse data formats need standardization for meaningful integration and analysis.
Transformation
Transformation logic is integral to data integration, involving the conversion of raw data into usable formats through comprehensive transformation and enrichment processes. Specialized tools are employed to ensure that data is properly formatted and analysis-ready. Central to the ETL/ELT processes, transformation logic entails altering data to meet specific analytical requirements before it is loaded into a manageable system. Data pipelines incorporate this logic to maintain consistency and quality across sources.
Validation
Validation rules are embedded within data integration processes to uphold data quality standards. By incorporating data validation into transformation and enrichment logic, engineers maintain data integrity. Quality assurance processes, including unit and integration testing, also encompass these validation rules. Performance benchmarking and optimization rely on validating data to ensure efficient data handling. Within data pipelines, integrating data validation mechanisms is a critical part of ensuring consistent data quality, supporting the seamless execution of data flows. Such measures are vital in building trust in the data used for decision-making and analytics.
Monitoring
Monitoring tools are pivotal in data integration for ensuring that data pipelines function efficiently. Utilizing data observability tools, engineers gain insights into the operational health of data flows. These tools are crucial for identifying and resolving issues promptly, maintaining the performance and reliability of ETL and ELT processes. Continuous monitoring secures data quality and guarantees the effective management of data workflows. The insights derived from these monitoring practices empower businesses to make swift, informed decisions, thus ensuring consistent progress towards data integration and business success.
Frequently asked questions
Looking for answers about how Data Integration Engineer work? Our FAQ section covers common questions, helping you quickly understand how we deliver tailored solutions for your business needs.
What does a Data Integration Engineer do?
A Data Integration Engineer connects, transforms, and manages data across systems to ensure consistency and availability. The Data Integration Engineer builds pipelines and workflows that unify disparate sources into structured, usable information.
How does a Data Integration Engineer support business goals?
A Data Integration Engineer enables real-time decision-making by ensuring data is accurate, accessible, and up to date. This leads to improved reporting, forecasting, and operational efficiency across teams.
What technologies does a Data Integration Engineer typically work with?
A Data Integration Engineer often works with ETL tools, APIs, cloud platforms, and databases like SQL, Snowflake, or Redshift. They are skilled in handling both structured and unstructured data in diverse technical environments.
What makes an interim Data Integration Engineer a smart choice?
An interim Data Integration Engineer brings specialized skills without long-term commitment, allowing companies to address urgent integration needs fast. The focus is on results, flexibility, and seamless delivery under tight timelines.
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