data scientist

software engineer

data analyst

devops engineer

senior data scientist

data engineer

Trendyol

<div><div><div><b>About the Team</b></div><div>
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.</div><div>
We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.</div><div></div><div><b><br>
About the Role</b></div><div>
As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Build and maintain scalable data pipelines for batch and real-time data processing.</li><li>
Work with data platforms and data warehouses to ensure reliable, cost-effective data processing solutions</li><li>
Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams</li><li>
Collaborate with cross-functional teams to define data architecture and infrastructure requirements</li><li>
Monitor and improve pipeline performance, scalability, and resilience</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Bachelor's degree in Computer Science, Engineering or related Information Technologies field</li><li>
2+ years of experience as a Data Engineer or in a similar data-focused role</li><li>
Strong Software Engineering skills</li><li>
Experience with Scala or Java programming language</li><li>
Experience with Go programming language is a plus</li><li>
Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium</li><li>
Experience with big data processing frameworks such as Apache Spark</li><li>
Familiarity with real-time data processing and streaming architectures for low-latency analytics</li><li>
Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)</li><li>
Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect</li><li>
Strong proficiency in SQL for data manipulation, querying, and optimization</li><li>
Experience with RESTful APIs</li><li>
Experience with both RDBMS and NoSQL databases</li><li>
Experience with testing frameworks, including unit testing and data quality validation for data pipelines</li><li>
Experience with containerization technologies such as Docker and Kubernetes</li><li>
Familiarity with CI/CD pipelines for data engineering and infrastructure-as-code practices</li><li>
Strong problem-solving skills and the ability to work independently and collaboratively</li><li>
Strong English communication skills, written and verbal</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Tech Stack</b></h3><ul><li><ul><li>
Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)</li><li>
Data Integration: Kafka Connect, Debezium</li><li>
Data Processing: Apache Spark</li><li>
Streaming &amp; Messaging: Apache Kafka</li><li>
Workflow Orchestration: Apache Airflow</li><li>
DevOps &amp; Infrastructure: Docker, Kubernetes, GitLab CI, Terraform</li><li>
Version Control: Git</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><ul><li><b>Hybrid working model with flexibility:</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</li><li><b>Customisable FlexBenefits budget: </b>Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.</li><li><b>Well-being support: </b>Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li><b>Personalised training allowance and learning opportunities: </b>Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.</li><li><b>Responsibility from day one: </b>Take full ownership from the start in a culture where every voice is heard and valued.</li><li><b>A diverse, international team: </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li><b>Opportunities to grow with the best: </b>Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li><b>Meaningful connections beyond tasks:</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply today, we look forward to taking the next step with you.</div><div>
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.</div></div></div>

Data Engineer

Personify Health

<div>Overview:
<div><b>
Who We Are</b></div><div>
Ready to create a healthier world? We are ready for you! Personify Health is on a mission to simplify and personalize the health experience to improve health and reduce costs for companies and their people. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we&rsquo;re shaping a healthier, more engaged future.</div>
Responsibilities:
<div><b>
Who are you?</b></div><p></p><p><br>
Data Engineer perform development activities with the guidance of another member of the data engineering team. You will work closely with account management, ETL, data warehouse, business intelligence, and reporting teams as you develop data pipelines and enhancements and investigate and troubleshoot issues.</p><p></p><p><b><br>
In this role you will wear many hats, but your knowledge will be essential in the following:</b></p><div><br>
</div><ul><li>Extracting, cleansing, and loading data.</li><li>
Building data pipelines using SQL, Kafka, and other technologies.</li><li>
Triage incoming bugs and incidents.</li><li>
Perform technical operation tasks.</li><li>
Investigate and troubleshoot issues with data and data pipelines.</li><li>
Participation in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and additional implementation details.</li><li>
Help monitor areas of the data pipeline and raise awareness to team when issues arise.</li><li>
Performing quality assurance work to verify the accuracy of code and data results</li></ul><p><i>
You&rsquo;ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.</i></p>
Qualifications:
<div><b>
What you bring to the Personify Health Team:</b></div><p></p><p><b><br>
In order to represent the best of what we have to offer you come to us with a multitude of positive attributes including:</b></p><ul><li>
1 &ndash; 2 years or less experience in data engineering</li><li>
SW certification or degree in IT related field</li></ul><p><b>
You also take pride in offering the following Core Skills, Competencies, and Characteristics:</b></p><ul><li>
Solid grasp of modern relational and non-relational models and differences between them.</li><li>
Proficiency in writing SQL, the use of Excel, and some analytical tools.</li><li>
Understanding of REST API.</li><li>
Understanding of JSON.</li><li>
Detail oriented and able to examine data and code for quality and accuracy.</li><li>
Knowledge of Agile environments, including Scrum and Kanban methodologies</li><li>
Python / R / programming language experience preferred</li><li>
ETL experience preferred</li><li>
AWS Lambda / Console experience preferred</li><li>
Git experience preferred</li></ul><p></p><div><i><br>
No candidate will meet every single desired qualification. If your experience looks a little different from what we&rsquo;ve identified and you think you can bring value to the role, we&rsquo;d love to learn more about you!</i></div><div></div><div><br>
Personify Health is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice.</div><p></p><p><br>
We strive to cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive. Personify Health is committed to driving Diversity, Equity, Inclusion and Belonging (DEIB) for all stakeholders: employees (at each organization level), members, clients and the communities in which we operate. Diversity is core to who we are and critical to our work in health and wellbeing.</p></div>

Accenture

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.</p><p></p><p>
What&rsquo;s in it for you?</p><p>
✨<b>Work-Life Balance: </b>Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours</p><p>
<b>Health &amp; Wellness: </b>Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</p><p>
<b>Transportation</b>: Shuttle service / Transportation support</p><p>
 <b>Financial Benefits: </b>Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
</p><p><b>Professional Development: </b>Learning budget / Personal career development with People Leads / Buddy Program</p><p>
<b>Work Environment</b>: Working on international projects with a globally diverse team / A fast-paced technology environment</p></div></div></div></div></div></div></div></div></div></div>
<br>
<div><p>Job Description</p><p></p><p><br>
We are looking for a detail-oriented, analytical, and customer-focused team member to support our customer onboarding, data management, and reporting processes. In this role, you will:</p><ul><li>
Work on customer onboarding processes by ingesting customer data into our analytic software.</li><li>
Troubleshoot and resolve issues that arise during customer onboarding.</li><li>
Collaborate closely with customers, helping them understand the architectural design and functionality of the software.</li><li>
Manage flight data and maintain reporting dashboards.</li><li>
Handle multiple projects across various data domains.</li><li>
Gather requirements, design, and implement scalable data pipelines to process and analyze large volumes of data.</li><li>
Ensure data quality, integrity, and security throughout the data lifecycle.</li><li>
Manage ETL (Extract, Transform &amp; Load) frameworks and ensure the quality and timeliness of data ingestion and transformation jobs.</li><li>
Collaborate with the data analytics and visualization team to design dashboards, reports, and visualizations for stakeholders.</li><li>
Conduct exploratory, descriptive, and predictive data analyses, and generate visual summaries of data.</li><li>
Identify data quality issues proactively and drive reusability and extensibility of the overall data architecture.</li></ul><p></p><p><i>
Requirements</i></p><ul><li>
Strong ability to communicate complex technical concepts clearly and fluently in English.</li><li>
Solid understanding of IT tools and environments, including Remote Desktop Protocol and the Microsoft Azure Portal.</li><li>
Working knowledge of SFTP server protocols and secure data transfer methods.</li><li>
Experience working with unstructured data and proficiency in handling XML and JSON file formats.</li><li>
Familiarity with scripting languages such as Python or PowerShell is an advantage.</li><li>
Proficiency in Microsoft Excel is considered a plus.</li><li>
Background in aviation or exposure to aviation-related data is highly desirable.</li><li>
A bachelor&rsquo;s degree from collage required; a degree in engineering is a plus.</li></ul></div><p></p>

Zoolatech

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>Our client is a global jewelry manufacturer undergoing a major transformation, moving from IaaS-based solutions to a modern Azure PaaS data platform. As part of this journey, you will design and implement scalable, reusable, and high-quality data products using technologies such as Data Factory, Data Lake, Synapse, and Databricks. These solutions will enable advanced analytics, reporting, and data-driven decision-making across the organization. By collaborating with product owners, architects, and business stakeholders, you will play a key role in maximizing the value of data and driving measurable commercial impact worldwide.</p>
</div><div><ul><li><p>Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform.</p></li><li><p>
Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models.</p></li><li><p>
Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies.</p></li><li><p>
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance.</p></li><li><p>
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions.</p></li><li><p>
Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits.</p></li><li><p>
Promote a &ldquo;build-once, consume-many&rdquo; approach to maximize reuse and value creation across business verticals.</p></li><li><p>
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering.</p></li></ul>
</div><div><p><b>Must-Have Skills</b></p><ul><li><p>
5+ years of experience as a Data Engineer with proven expertise in <b>Azure Synapse Analytics</b> and <b>SQL Server</b>.</p></li><li><p>
Advanced proficiency in <b>SQL</b>, covering relational databases, data warehousing, dimensional modeling, and cubes.</p></li><li><p>
Practical experience with <b>Azure Data Factory, Databricks, and PySpark</b>.</p></li><li><p>
Track record of designing, building, and delivering production-ready data products at enterprise scale.</p></li><li><p>
Strong analytical skills and ability to translate business requirements into technical solutions.</p></li><li><p>
Excellent communication skills in English, with the ability to adapt technical details for different audiences.</p></li><li><p>
Experience working in <b>Agile/Scrum</b> teams.</p></li></ul><p><b>
Nice-to-Have Skills</b></p><ul><li><p>
Familiarity with infrastructure tools such as Kubernetes and Helm.</p></li><li><p>
Experience with Kafka.</p></li><li><p>
Experience with DevOps and CI/CD pipelines.</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Data
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

Senior Data Engineer

Sezzle

<div><p><b>The salary range for this role is </b><b>$5,000 - $9,500</b><b> per month (Gross in USD)</b></p>
<p><b>
About Sezzle:</b></p>
<p>
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!</p>
<p><b>
Compensation</b>:</p>
<p>
For this high-level senior role, with 9+ years of experience, the compensation range is<b> $5000 - $9500 USD </b>per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect that.</p>
<p><b>
About the Role:</b></p>
<p>
We are seeking a talented and motivated, best-in-class Senior Data Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.</p>
<p>
Sezzle is growing; our data generation and consumption is growing with us at an increasing scale. Data is extremely valuable, and we want to empower the business, the engineers, and the rest of the organization to be able to analyze large volumes of it quickly and efficiently.</p>
<p>
Sezzle is a heavy consumer of Redshift, leveraging AWS DMS, DBT-based Transformations, and similar tooling to populate a rapidly growing data lake that supports multiple data warehouses for other business units. It's scaled well with us so far, and we're looking to continue improving it, but we also want to step into new tooling and technologies.<br>
<br>
<b>What you'll do:</b></p>
<ul>
<li>Design, build, and optimize large-scale, high-performance data pipelines to support analytics, product insights, and operational workflows.</li>
<li>Architect and evolve Sezzle's data ecosystem, driving improvements in reliability, scalability, and efficiency.</li>
<li>Lead development of ETL/ELT workflows using Redshift, DBT, AWS DMS, and related modern data tooling.</li>
<li>Partner with cross-functional teams (engineering, analytics, product, finance, risk) to gather or adapt requirements and deliver robust, high-quality datasets.</li>
<li>Evaluate and integrate new technologies, guiding the evolution of Sezzle's data stack and infrastructure.</li>
<li>Optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management.</li>
</ul>
<p><b>What We look for:</b></p>
<ul>
<li><b>9+ years of experience</b> in data engineering, with a strong track record of production-grade systems.</li>
<li>Deep expertise with <b>AWS Redshift or similar products</b>, including performance tuning, table design, and workload management.</li>
<li>Strong hands-on experience with <b>ETL/ELT frameworks</b>, especially <b>DBT</b>, <b>AWS DMS</b>, and similar tools.</li>
<li>Proficiency in <b>SQL</b> (advanced level) and at least one programming language such as <b>Python</b>, <b>Scala</b>, or <b>Java</b>.</li>
<li>Experience building and maintaining <b>AWS-based data platforms</b>, including S3, Lambda, Glue, or EMR.</li>
<li>Track record designing <b>scalable, fault-tolerant data pipelines</b> using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing more than 100GB - 1 TB of new data a day</li>
<li>Strong understanding of <b>data modeling</b>, distributed systems, and warehouse/lake design patterns.</li>
<li>Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.</li>
</ul>
<p><b>Preferred Knowledge and Skills:</b></p>
<ul>
<li>Prior experience in <b>high-growth, data-intensive fintech</b> or similar regulated environments.</li>
<li>Familiarity with <b>streaming technologies</b> (Kafka, Kinesis, Flink, Spark Streaming).</li>
<li>Knowledge of <b>lakehouse architectures</b> and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake.</li>
<li>Exposure to <b>machine learning pipelines</b>, feature stores, or MLOps concepts.</li>
<li>Experience leading <b>data platform migrations</b>, warehouse re-architectures, or large-scale performance overhauls.</li>
<li>Enthusiasm for <b>automation</b>, CI/CD for data, and infrastructure as code (Terraform, CloudFormation).</li>
</ul>
<p><b>About You:</b></p>
<ul>
<li><b>You have relentlessly high standards</b> - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.</li>
<li><b>You're not bound by convention</b> - your success&mdash;and much of the fun&mdash;lies in developing new ways to do things</li>
<li><b>You need action</b> - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.</li>
<li><b>You earn trust</b> - you listen attentively, speak candidly, and treat others respectfully.</li>
<li><b>You have backbone; disagree, then commit </b>- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.</li>
<li><b>You deliver results </b>- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.</li>
</ul>
<p><b>What Makes Working at Sezzle Awesome?</b></p>
<p>
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.</p>
<p>
#Li-remote #Full-time</p></div>

Senior Data Engineer (Turkey)

Arçelik

<div><p><b>Discover a Home for Your Talents</b></p><br>
<p></p>
<p>Within the Beko community, every role feels like home, fostering a sense of belonging and growth. We value mutual respect, progressive thinking, and the power of diversity and inclusivity. Our commitment to sustainable development is driven by trust in technology and a dedication to producing confidently. As a member of our team, you'll have the opportunity to showcase your talents and contribute to building a prosperous future for all.</p><br>
<p></p>
<p><b>Apply Now and Be Part of Our Journey to Inspire Sustainable Lives in Every Home!</b></p><br>
<p></p>
<div><b>
What awaits you in this role?</b></div><br>
<div></div>
<div>
We are looking for a passionate<b> Senior Lead - Data Engineer-Planning</b> who will join our team at <b>Supply Chain Directorate</b> in<b> Beko Corporate.</b></div><br>
<div></div>
<ul>
<li>Understand Beko's supply chain and supply chain data; use data to drive key insights in order to drive foundational changes within the supply chain and optimize process/outputs/results,</li>
<li>Create and maintain optimal data pipeline architecture for ongoing and new projects,</li>
<li>Assemble large, complex datasets that meet functional/non-functional business requirements,</li>
<li>Identify, design and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.,</li>
<li>Build the infrastructure required for optimal extraction, transformation and loading of data froma wide variety of data sources using SQL and Amazon cloud services,</li>
<li>Build analytical tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics,</li>
<li>Work with stakeholders, including the local, regional, and global teams, to assist with data-related technical issues and support their data infrastructure needs.</li>
<li>Provide guidance and monitoring to less experienced members; advising and helping to identify future projects,</li>
<li>Work with data and analytics experts to strive for greater functionality in our data systems,</li>
<li>Have ownership of the project, creating a project plan, tracking project progress and hosting user group meetings.</li></ul><br>
<div></div>
<div>
This position is located in <b>&Ccedil;ayırova, İstanbul.</b></div><br>
<div></div>
<div><b>
How do we describe the perfect match?</b></div><br>
<div></div>
<ul>
<li>Bachelor's Degree in a highly quantitative field (Industrial Engineering, Operational Research, Statistics, Mathematics, etc.) or equivalent experience. (Master&rsquo;s Degree is a plus),</li>
<li>Having conceptual knowledge of supply chain industry methodologies and principles especially in household or similar electrical appliances,</li>
<li>Having advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases,</li>
<li>Having experience building and optimizing &quot;big data&quot; data pipelines, architectures and sata sets,</li>
<li>Having experience performing root cause analysis on internal and external and processes to answer specific business questions and identify opportunities for improvement,</li>
<li>Having strong analytic skills related to working with unstuctured datasets,</li>
<li>Having 3+ years of SQL experience,</li>
<li>Having 2+ years of experience with workflow engines (i.e. AWS step functions)</li>
<li>Having basic knowledge of software development principles and architecture,</li>
<li>Having experience with large-scale, complex datasets to create/optimize predictive, forecasting, and/or optimization models (SQL and/or KNIME knowledge is a plus),</li>
<li>Having willingness to study in the areas of supply chain optimization projects (forecasting modeling, disaggregation and decomposition, inventory optimization, network design and architecture) in sophisticated and complex environments including the use of simulation and modelling tools. (Knowledge of Python and/or R is a plus),</li>
<li>Having excellent project management skills, including issue tracking, research, cross-group collaboration, and communication,</li>
<li>Having experience in creating data driven visualizations (Qlik knowledge is an asset),</li>
<li>Having experience in writing and speaking about complex technical concepts to broad audiences in a simplified format,</li>
<li>Strong knowledge of Microsoft Office Programs and knowledge of SAP is a plus,</li>
<li>Excellent verbal and written skills in English (German is a plus),</li>
<li>Following and adopting the market trends and new technologies,</li>
<li>Outside-the-box thinking ability,</li>
<li>Open to innovation culture,</li>
<li>Flexible and open to new perspectives,</li>
<li>A great team player with a self initiative mindset,</li>
<li>Knowing what empathy really means,</li>
<li>Being open to communication is always our priority.</li></ul><br>
<p></p>
<p>
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, sex, colour, national or social origin, ethnicity, religion, age, pregnancy, disability, sexual orientation, gender identity and expression, marital status, or political opinion.</p><br>
<p></p>
<p><b>
At Beko, where it feels like home, we invite you to explore&hellip;</b></p><br>
<p></p>
<ul>
<li><b>Professional Development: </b>Access tailored opportunities through our global minds network.</li>
<li><b>Global Community: </b>Contribute to a community of like-minded individuals.</li>
<li><b>Well-being: </b>Enjoy holistic support in physical, mental, financial, career, social, and family wellness, including sports teams, hobby clubs, social activities, counselling, dietitian support, and more.</li>
<li><b>Innovation Culture: </b>Experience continual growth in our innovative environment.</li>
<li><b>Leadership: </b>Develop leadership skills at any level in our trusted lifestyle solutions environment.</li>
<li><b>Flextra Benefits:</b> Customize your benefits with our flexible program.</li>
<li><b>Exclusive Discounts:</b> Enjoy discounts on appliances and more via Ko&ccedil; Ailem membership.</li></ul><br>
<p></p>
<p>
Join the Beko Community to open a new chapter in your life journey, where growth, innovation, and personal fulfilment make it feels like home.</p><br>
<p></p>
<p>
Get to know us better through our company video! https://www.youtube.com/watch?v=uNkzSicIGaU</p><br>
<p></p>
<p>
Check out our latest stories and behind-the-scenes moments on Instagram: @lifeatbeko</p></div><p></p>

Senior Lead - Data Engineer-Planning 1

Innovance Consultancy

<div>
 <p>
  Innovance provides the latest generation &amp; high-quality digital transformation initiatives for banks and other financial institutions since 2017 from near sourcing services to technology advisory services. Innovance focuses on impact &amp; delivery by providing world-class strategic IT leadership, remote or on-site support to clients at all layers with measurable results on operational &amp; financial verticals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   &ldquo;Senior Data Engineer &ndash; Informatica Developer
  </strong>
  &rdquo; who is excited about data and eager to join a large team working with our finance client.This is a remote position for a banking transformation project in T&uuml;rkiye. Join us if you are motivated to drive success using the power of data.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, implement, and maintain robust data pipelines using Informatica for efficient ETL processes.
  </li>
  <li>
   Collaborate with cross-functional teams to understand data requirements and ensure data integrity throughout the entire data lifecycle.
  </li>
  <li>
   Develop and optimize SQL queries and procedures to extract, transform, and load data into Oracle databases.
  </li>
  <li>
   Troubleshoot and resolve data-related issues, ensuring the reliability and performance of data systems.
  </li>
  <li>
   Collaborate with data architects to design and implement scalable and efficient data models.
  </li>
  <li>
   Simplify and optimize the ETL flows and transformations
  </li>
  <li>
   Support team in technical assessments, analyses, data modeling, design phase and data quality testing life cycle
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Technology, or a related field.
  </li>
  <li>
   Minimum 5 years hands-on experience in Data Warehousing or Data Engineering
  </li>
  <li>
   Proven experience as a Data Engineer with a focus on Oracle databases and Informatica ETL tools
  </li>
  <li>
   Strong proficiency in Oracle SQL and PL/SQL for data extraction, transformation, and loading
  </li>
  <li>
   Experience designing and optimizing ETL processes using Informatica PowerCenter
  </li>
  <li>
   Solid understanding of data modeling concepts and best practices
  </li>
  <li>
   Familiarity with SQL performance tuning and optimization techniques for Oracle databases
  </li>
  <li>
   Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders
  </li>
  <li>
   Knowledge of data warehousing concepts and practices
  </li>
  <li>
   Experience with other databases and ETL tools is a plus
  </li>
  <li>
   Experience in BI Tools preferably Power BI is a plus
  </li>
  <li>
   Having a background in banking is a significant advantage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desired Characteristics:
  </strong>
 </p>
 <ul>
  <li>
   Eager to learn new tools and technologies
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Strong teamwork and communication skills
  </li>
  <li>
   Data-driven analytical mindset
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Solution-oriented
  </li>
  <li>
   Self-starter
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Follow us:
   </em>
  </strong>
 </p>
 <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>


Senior Data Engineer - Informatica Developer

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