software developer

data engineer

software engineer

backend developer

plc developer

etl developer

Innovance Consultancy

<div>
 
 
 About the Role:
 
 
 
 
 
 
 We are looking for a passionate
 
 Data Engineer
 
 to join our growing data team, who will transform raw data into meaningful and reliable data products. In this role, you will play a key part in modernizing traditional ETL processes and architecting next-generation data platforms using big data technologies like Spark and Flink.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and manage end-to-end, efficient, and scalable data pipelines using big data processing technologies like Spark and Flink, as well as industry-standard ETL tools
 </li>
 <li>
 Create flexible data models and data warehousing solutions to support analytics and reporting processes that meet business needs
 </li>
 <li>
 Analyze existing ETL/ELT processes and SQL queries to implement improvements, optimize resource consumption, and enhance performance
 </li>
 <li>
 Collaborate closely with data scientists, analysts, and business units to understand data requirements and deliver high-quality data products
 </li>
 <li>
 Ensure the implementation of data governance and security standards, including data quality, data lineage, and reliability
 </li>
 <li>
 Stay current with new technologies and approaches in the data field and proactively recommend improvements to the existing infrastructure
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Management Information Systems (MIS), Mathematics, or a related field
 </li>
 <li>
 3+ years of hands-on experience in Data Engineering or Data Warehousing
 </li>
 <li>
 Proven experience in developing large-scale data pipelines and ETL/ELT workflows using Python and Spark
 </li>
 <li>
 Hands-on experience with workflow scheduling platforms such as Airflow, Dagster, or similar technologies
 </li>
 <li>
 Advanced proficiency in SQL and experience with procedural SQL languages such as Oracle PL/SQL
 </li>
 <li>
 Experience working with structured and semi-structured data formats like Parquet, Avro, and JSON
 </li>
 <li>
 In-depth knowledge of modern data architectures such as data lakes, data lakehouses, and core data modeling principles
 </li>
 <li>
 Experience with at least one industry-standard ETL tool such as ODI, Informatica, or Talend
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications (Nice to have):
 
 
 <ul>
 <li>
 Experience with data processing and optimization in cloud environments (AWS, Azure, GCP), with a preference for GCP
 </li>
 <li>
 Experience with real-time data processing and streaming technologies, such as Kafka
 </li>
 <li>
 Familiarity with workflow management platforms like Airflow
 </li>
 <li>
 Knowledge of containerization technologies like Docker and Kubernetes, and CI/CD processes
 </li>
 <li>
 Familiarity with BI tools such as Power BI
 </li>
 <li>
 Experience in the banking or finance industry is a significant advantage
 </li>
 </ul>
 
 
 
 
 
 Personal Attributes:
 
 
 <ul>
 <li>
 Excellent communication skills in English, both written and verbal
 </li>
 <li>
 Strong analytical thinking, problem-solving skills, and a results-oriented mindset
 </li>
 <li>
 A team player with the ability to communicate effectively with stakeholders at all technical levels
 </li>
 <li>
 Detail-oriented with a commitment to delivering high-quality work
 </li>
 </ul>
 
 
 
 
 
 
 Follow us:
 
 
 
 <ul>
 <li>
 LinkedIn: https://www.linkedin.com/company/innovance-consultancy
 </li>
 <li>
 LinkedIn: https://www.linkedin.com/company/dataspecta
 </li>
 <li>
 Instagram: https://www.instagram.com/innovanceconsultancy
 </li>
 <li>
 Instagram: https://www.instagram.com/dataspecta
 </li>
 </ul>
 
 
</div>

Data Engineer

dataSpecta

<div>
 
 
 About the Role:
 
 
 
 
 
 
 At DataSpecta, we develop innovative solutions that shape the business world by unlocking the power of data. We are looking for a passionate
 
 Data Engineer
 
 to join our growing data team, who will transform raw data into meaningful and reliable data products. In this role, you will play a key part in modernizing traditional ETL processes and architecting next-generation data platforms using big data technologies like Spark and Flink.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and manage end-to-end, efficient, and scalable data pipelines using big data processing technologies like Spark and Flink, as well as industry-standard ETL tools
 </li>
 <li>
 Create flexible data models and data warehousing solutions to support analytics and reporting processes that meet business needs
 </li>
 <li>
 Analyze existing ETL/ELT processes and SQL queries to implement improvements, optimize resource consumption, and enhance performance
 </li>
 <li>
 Collaborate closely with data scientists, analysts, and business units to understand data requirements and deliver high-quality data products
 </li>
 <li>
 Ensure the implementation of data governance and security standards, including data quality, data lineage, and reliability
 </li>
 <li>
 Stay current with new technologies and approaches in the data field and proactively recommend improvements to the existing infrastructure
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Management Information Systems (MIS), Mathematics, or a related field
 </li>
 <li>
 3+ years of hands-on experience in Data Engineering or Data Warehousing
 </li>
 <li>
 Proven experience in developing large-scale data pipelines and ETL/ELT workflows using Python and Spark
 </li>
 <li>
 Hands-on experience with workflow scheduling platforms such as Airflow, Dagster, or similar technologies
 </li>
 <li>
 Advanced proficiency in SQL and experience with procedural SQL languages such as Oracle PL/SQL
 </li>
 <li>
 Experience working with structured and semi-structured data formats like Parquet, Avro, and JSON
 </li>
 <li>
 In-depth knowledge of modern data architectures such as data lakes, data lakehouses, and core data modeling principles
 </li>
 <li>
 Experience with at least one industry-standard ETL tool such as ODI, Informatica, or Talend
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications (Nice to have):
 
 
 <ul>
 <li>
 Experience with data processing and optimization in cloud environments (AWS, Azure, GCP), with a preference for GCP
 </li>
 <li>
 Experience with real-time data processing and streaming technologies, such as Kafka
 </li>
 <li>
 Familiarity with workflow management platforms like Airflow
 </li>
 <li>
 Knowledge of containerization technologies like Docker and Kubernetes, and CI/CD processes
 </li>
 <li>
 Familiarity with BI tools such as Power BI
 </li>
 <li>
 Experience in the banking or finance industry is a significant advantage
 </li>
 </ul>
 
 
 
 
 
 Personal Attributes:
 
 
 <ul>
 <li>
 Excellent communication skills in English, both written and verbal
 </li>
 <li>
 Strong analytical thinking, problem-solving skills, and a results-oriented mindset
 </li>
 <li>
 A team player with the ability to communicate effectively with stakeholders at all technical levels
 </li>
 <li>
 Detail-oriented with a commitment to delivering high-quality work
 </li>
 </ul>
 
 
 
 
 
 
 Follow us:
 
 
 
 <ul>
 <li>
 LinkedIn: https://www.linkedin.com/company/innovance-consultancy
 </li>
 <li>
 LinkedIn: https://www.linkedin.com/company/dataspecta
 </li>
 <li>
 Instagram: https://www.instagram.com/innovanceconsultancy
 </li>
 <li>
 Instagram: https://www.instagram.com/dataspecta
 </li>
 </ul>
 
 
</div>

Vertigo

<div>ABOUT VERTIGO GAMES
We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150 + million fans worldwide!
Check out our smash-hit games:
 Critical Strike<ul><li>&#65039; Polygun Arena</li></ul>
Now, we're looking for a passionate Data Engineer to join our dynamic team in Istanbul. This is an on-site role, requiring you to work 5 days a week from our office in Levent.
Don't miss the chance to shape the future of gaming and make your mark on millions of players worldwide!
Requirements<ul>
<li>Own and evolve our Airflow &amp; DBT-based data pipeline architecture.</li>
<li>Develop reliable and cost-efficient data workflows that ensure timely and accurate data delivery.</li>
<li>Build and maintain ETL/ELT processes to ingest data from external and internal sources.</li>
<li>Collaborate with analysts, engineers, and product teams to design scalable data models.</li>
<li>Implement and optimize data warehouse structures (BigQuery or others) for analytical efficiency.</li>
<li>At least 1 proven DWH project experience in cloud-native architectures (GCP or AWS)</li>
<li>Monitor and troubleshoot pipeline failures, optimize for performance and cost-efficiency.</li>
<li>Ensure data quality, consistency, and governance across the stack.</li>
</ul>Required Skills<ul>
<li>2+ years of experience in a data engineering or backend data-focused role.</li>
<li>Proficiency in DBT for data modeling and transformation.</li>
<li>Hands-on experience with Apache Airflow for orchestration and scheduling.</li>
<li>Solid understanding of ETL/ELT pipelines and cloud-based data workflows.</li>
<li>Experience working with Google Cloud Platform (e.g., BigQuery, Cloud Run, Cloud Functions, Cloud SQL).</li>
<li>Proficiency in Python for scripting and workflow automation.</li>
<li>Strong command of SQL and experience building data models in a warehouse environment.</li>
<li>Understanding of cost optimization practices in cloud environments.</li>
<li>Familiarity with CI/CD processes and version control systems like Git.</li>
<li>Good communication skills and the ability to work cross-functionally with analysts and developers.</li>
</ul>Benefits
 Competitive net salary
 Meal Card
 Private Health Insurance
 Monthly-based financial support for educational platforms
 Company equity: Share in the company to make you an owner, not just an employee
 Birthday leave
 Retention bonus
 Referral bonus
 5 days of annual leave from the start date 
 
Interviewing<ul>
<li>Application Submission: You can apply by submitting your CV, LinkedIn profile, or a brief introduction about yourself. If your profile matches our requirements, we'll reach out to you.</li>
<li>People &amp; Culture Interview: You'll meet with our People &amp; Culture team to talk about your background, your goals, and how we fit in. This meeting will take place online via Google Meet.</li>
<li>Case Study: You&rsquo;ll take on a practical task related to the role to demonstrate your skills in a case study.</li>
<li>Technical Interview: You&rsquo;ll have an in-depth discussion of the case and meet the lead of the relevant department at our Istanbul office.</li>
<li>Final Meeting: You&rsquo;ll have a face-to-face meeting with our founders to discuss further details at our Istanbul office.</li></ul></div>

Milli Reasürans T.A.Ş

<div>
 
 
 Milli Re: 95 Years of Leadership and Contribution
 
 
 
 Founded in 1929 to nationalize T&uuml;rkiye&rsquo;s insurance market, Milli Re is one of the world&rsquo;s oldest reinsurance companies. As the world&rsquo;s first and only privately owned company that managed a compulsory reinsurance system across all lines of business, Milli Re has played a pivotal role in shaping and advancing the insurance industry in T&uuml;rkiye. Milli Re has also managed major reinsurance pools and was instrumental in establishing the Turkish Catastrophe Insurance Pool (TCIP/DASK), serving as its manager from 2000 to 2005. Following the termination of the compulsory reinsurance system, the Company redefined its strategic goals, focusing on expansion into international markets. In line with this vision, the Company opened its Singapore Office in 2007. Milli Re today continues to be the leading reinsurer of the Turkish Market, while providing capacity and risk mitigating solutions to its international clients as a prestigious and trusted reinsurer. In this connection, the Company plays a critical role in the insurance market by offering reinsurance protection to insurance companies, enhancing their capacity to underwrite policies, enabling them to manage their exposures and facilitating their claims handling procedures.
 
 
 Beyond its core reinsurance operations, Milli Re has also been pioneering in the development of the insurance industry through initiatives such as the Turkish Insurance Institute Foundation and Reas&uuml;r&ouml;r Magazine, a quarterly academic publication featuring research, interviews and statistical analyses on re/insurance since 1991.
 
 
 Committed to sustainable growth, innovation and social responsibility, Milli Re also organizes industry events such as the International Insurance Tennis Tournament and fosters cultural engagement through its art gallery and chamber orchestra.
 
 
 
 Our workforce is our greatest asset.
 
 
 
 With one of the most experienced leadership teams in the industry, supported by highly skilled professionals in reinsurance, we are dedicated to empowering young talent and promoting gender equality in the workplace. We foster an inclusive environment where individuals can thrive without limitations. As a proud holder of the Equal Opportunity Model (FEM) Certificate, Milli Re remains committed to advancing women&rsquo;s empowerment in business and contributing to a more equitable society.
 
 
 
 
 
 
 Career Opportunities
 
 
 
 
 Data Analysis- Executive
 
 
 
 
 Job Description &amp; Responsibilities:
 
 
 <ul>
 <li>
 Actively participate in data warehouse analysis, data modeling, and ETL development processes,
 </li>
 <li>
 Prepare management-level reports,
 </li>
 <li>
 Provide support to business units for their reporting needs,
 </li>
 <li>
 Implement and follow up on data development requests,
 </li>
 <li>
 Carry out data warehouse development and improvement initiatives.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Mathematical Engineering, Software Engineering, or Statistics,
 </li>
 <li>
 Proven experience in data analysis or data warehouse departments within insurance companies,
 </li>
 <li>
 Minimum 10 years of relevant professional experience,
 </li>
 <li>
 Strong analytical mindset and advanced problem-solving abilities,
 </li>
 <li>
 In-depth knowledge of data warehousing concepts and hands-on experience in data modeling methodologies,
 </li>
 <li>
 Proficient in English at an advanced level,
 </li>
 <li>
 Strong command of MS Office applications,
 </li>
 <li>
 Experienced in VBA applications (Excel macros),
 </li>
 <li>
 Demonstrated expertise in business intelligence, data management, ETL, and reporting, along with team management experience,
 </li>
 <li>
 Proficiency in Python or similar programming languages,
 </li>
 <li>
 Excellent interpersonal and communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 *&Ccedil;al&inodot;&scedil;an Adaylar&inodot;na Ait Ki&scedil;isel Verilerin &Idot;&scedil;lenmesine &Idot;li&scedil;kin Ayd&inodot;nlatma Beyan&inodot; i&ccedil;in t&inodot;klay&inodot;n&inodot;z.
 
 
 
 
 
</div>

Data Analysis - Executive

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at TurkNet
 
 
 
 
 
 We&rsquo;re looking for experienced Data Engineer to join our game changer team.
 
 
 
 
 
 
 📱 What You'll Do
 
 
 
 
 
 <ul>
 <li>
 Ensuring uninterrupted and reliable transmission of data flows within the scope of compliance with regulations; establishing, maintaining and developing the necessary system architectures and data lines in this direction
 </li>
 <li>
 To ensure that data to be sent to regulatory bodies on a periodic or event-based basis is packaged and transmitted in a timely, error-free and as automated as possible.
 </li>
 <li>
 Establish and operate control and verification systems to ensure that data from different sources are consistent with each other.
 </li>
 <li>
 Establishing monitoring systems for continuity and performance monitoring in data transmission, creating alarm configurations and producing preventive solutions against possible interruptions.
 </li>
 <li>
 Creating data models to meet regulatory reporting needs; working with different technical teams to ensure integration with source systems.
 </li>
 </ul>
 
 
 
 
 
 👩 👨 Who You Are
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Engineering, Software Engineering, Industrial Engineering or related engineering/quantitative fields.
 </li>
 <li>
 Advanced knowledge and experience in SQL and data modeling.
 </li>
 <li>
 Experience in data warehouse (DWH) modeling.
 </li>
 <li>
 Experience in the design, development and management of ETL/ELT processes.
 </li>
 <li>
 Practical knowledge of working with large data sets, data integration and data validation processes.
 </li>
 <li>
 Experience in data platforms and workflow tools such as Apache Airflow, Spark, Kafka.
 </li>
 <li>
 To be actively involved in data processing and back-end development processes with Python, Java, .Net or similar languages.
 </li>
 <li>
 To have experience in working with version control systems.
 </li>
 <li>
 Disciplined work on technical documentation and data schema tracking.
 </li>
 <li>
 To be willing to work in public regulations, legislative compliance and audit-oriented data processes and to be open to development in this field.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Data Engineer. You should therefore have more than 3 years of experience in a Data Engineer role.
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 ✅Our hiring process
 
 
 
 We&rsquo;re guided by our goal of creating an equitable and inclusive experience where candidates from a wide variety of backgrounds have an opportunity to succeed.
 
 
 We do not imagine a complex recruitment process. That's why do we care that the process is short, fast and transparent.
 
 
 1.Application: You can apply for open positions on LinkedIn.
 
 
 2.First Interview: We want above all to assess your skills and see if you and TurkNet values are a match.
 
 
 3.Case study: We may need to test technical skill for some positions.
 
 
 4.Second Interview: Deep dive to your technical skills by hiring manager
 
 
 5.Welcome TurkNet!
 
</div>

emlakjet.com

<div>
 
 Unlock a world of digital solutions alongside real estate at Emlakjet!
 
 
 
 
 
 Since our establishment in 2006, we've been excelling in simplifying property searches for sale, rent, or investment while providing diverse solutions to enhance our customers' experience. With 60M+ monthly page views and 15M+ visitors, we stand as a leading force in the proptech industry.
 
 
 
 
 
 Our extensive team of 200+ professionals, with a significant 42% representation of female talent, operates across 81 provinces in Turkey and Northern Cyprus, marking rapid growth.
 
 
 
 
 
 We aspire to push boundaries, pioneering comprehensive, innovative solutions that drive the technological evolution within Turkey's real estate sector.
 
 
 
 
 
 Since 2014, as a part of Ilab Holding, we have been contributing to a digital ecosystem that serves 65% of Turkey's monthly internet users.
 
 
 
 
 
 
 Your Profile
 
 
 <ul>
 <li>
 Bachelor's degree preferably in Computer Science
 </li>
 <li>
 Advanced academic degree (MS / PhD) typically in a quantitative discipline or related field is a plus,
 </li>
 <li>
 Minimum 2 years of experience as a Data Engineer
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Experience using cloud technologies for data processing, storage and modeling pipelines (Google BigQuery, Google Cloud Storage, AWS S3, etc.)
 </li>
 <li>
 Knowledge of general concepts of DevOps (Test, Deploy, Docker, Kubernetes, Build or Yaml scripting) is a plus
 </li>
 <li>
 Data warehousing experience (star schema, snowflake schema, scd types etc...)
 </li>
 <li>
 Hands on experience with SQL and NoSQL databases (Mongo, Redis, HBase, Cassandra)
 </li>
 <li>
 Familiarity with building data pipelines with unit and integration tests
 </li>
 <li>
 Experience with Apache Airflow and DBT
 </li>
 <li>
 Familiarity with batch data processing technologies is a plus (Spark, Kafka, Scala, Hive etc.)
 </li>
 <li>
 Experience with Git - Designing and developing standard practices within a GitHub environment
 </li>
 <li>
 Having experience with vector databases is a plus (FAISS, Milvus, Qdrant)
 </li>
 </ul>
 
 
 
 
 
 Your Role
 
 
 <ul>
 <li>
 Identifying, evaluating and implementing data management tools
 </li>
 <li>
 Working in the data science team to maintain data processes
 </li>
 <li>
 Writing scalable, robust and testable batch and streaming transformations
 </li>
 <li>
 Scale data pipelines and databases smoothly in a cost-effective way, assist with making decisions to extend or migrate existing data pipelines
 </li>
 </ul>
 
 
 
 
 Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the https://www.emlakjet.com/insan-kaynaklari/#encalisanadayiaydinlatmametni
 
</div>

MoneyPay

<div>
 
 
 MoneyPay
 
 is a next-generation e-wallet for the sharing economy. We are looking for a
 
 Senior Data Analyst
 
 to join us and help make this transformation a reality.
 
 
 
 
 
 As a
 
 Senior Data Analyst
 
 , you will be part of our team that develops, designs, deploys, and supports our data platforms to provide greater visibility into our products&rsquo; performance. You will be responsible for running descriptive analytics and BI projects, and contributing to the data analytics strategy, data management, as well as data science projects.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 
 
 
 <ul>
 <li>
 Responsible for understanding business problems and identifying the needs of cross functional teams,
 </li>
 <li>
 Build interactive reports and dashboards to provide visibility into product trends,
 </li>
 <li>
 Automate recurring reports and develop self-service analytics solutions,
 </li>
 <li>
 Turn data into actionable insights using PostgreSQL/BigQuery, Tableau, and (optionally) Python,
 </li>
 <li>
 Detect patterns and anomalies in large datasets and recommend improvements to processes and products,
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll bring
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field (computer science, mathematics, engineering, or similar),
 </li>
 <li>
 4+ years of experience in data analytics, business intelligence, or reporting roles,
 </li>
 <li>
 Experience in the fintech sector is preferred,
 </li>
 <li>
 Strong knowledge of SQL and any BI tool (Tableau, Power BI, Looker, or similar),
 </li>
 <li>
 Python &amp; Pandas is a plus; basic scheduling/ETL familiarity is nice to have,
 </li>
 <li>
 Strong analytical skills with attention to detail and accuracy,
 </li>
 <li>
 Excellent verbal and written communication skills in English,
 </li>
 </ul>
 
 
</div>

Senior Data Analyst

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