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ai integration & deployment engineer

ai software engineer

data engineer

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>Our client is a global jewelry manufacturer that is transforming its data and analytics footprint and is also on a journey from IaaS-based Microsoft/QV solutions to Azure PaaS.
As a Data Engineer, you will collaborate with product owners, architects, and other key profiles across the global organisation. You will help business verticals and clusters maximize the value of the data and drive business change as a result.
Your primary focus will be building and implementing scalable data products on the global data platform together with other smart engineers in the organization.
</div><div><ul><li>Work closely with your colleagues within a product team to design scalable, efficient, and stable products</li><li>
﻿﻿Work closely with product owners to build and deliver features designed to drive commercial business cases and efficiencies within reporting and analytics, and other data-driven use cases</li><li>
﻿﻿Create and maintain a high-quality data pipeline architecture</li><li>
﻿﻿Obtain relevant business and system knowledge to convert requirements efficiently to technical design documentation and conceptual data modelling</li><li>
﻿﻿Ingest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc.</li><li>
﻿﻿Own your data products and track continuous stability and benefits</li><li>
Live and breathe &quot;build -once-consume-many&quot; culture in which we enable others to use our data products for maximum value-add</li><li>
﻿﻿Work with stakeholders and teams to assist with data-related technical challenges</li><li>
﻿﻿Follow best practice and existing guidelines, but also push the limits</li><li>
﻿﻿Thrive in a fast-paced environment, and you get motivated by challenges as a true problem solver.</li></ul>
</div><div><ul><li>Relevant education within Computer Science, Mathematics, Economics, Information Management, or Statistics</li><li>
﻿﻿3+ years of experience as a Data Engineer or in a Software engineering role with a focus on data</li><li>
﻿﻿Proven experience with ADF, Data Lake, Synapse, T/U-SQL, Databricks, MDS, DAX, SSIS, and SQL Server</li><li>
﻿﻿Experience with at least one object-oriented or functional/scripting language - Java, Scala, Python, etc.</li><li>
DevOps and CI/CD focus</li><li>
Hands-on with git and coding best practices</li><li>
Unit testing</li><li>
Experience in working with relational data sets using SQL</li><li>
Experience with data warehousing, dimensional modelling, and cubes</li><li>
﻿﻿Experience in building and optimizing data pipelines, architectures, and datasets</li><li>
﻿﻿Experience in working with Azure, AWS, or other cloud providers</li><li>
Designed, built, and delivered production-ready data products at an enterprise level</li><li>
Highly proficient in English and able to communicate with all levels</li><li>
﻿﻿Agile mindset and experience of Scrum</li></ul>
It's a plus if you have worked with:<ul><li>
﻿﻿Big data: Spark, Hadoop</li><li>
﻿﻿Data pipeline and workflow tools: Airflow</li><li>
﻿﻿Infrastructure: Kubernetes and Helm; we're using Airflow running on Kubernetes</li><li>
﻿﻿Stream-processing systems: Kafka or Spark Streaming</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Middle
</div></div><div>Technologies:
<div>Data
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

Data Engineer

YO IT CONSULTING

<div><div>Job Type: Contractor
Location: Remote
<h3 class="jobSectionHeader">Role Description</h3>
If you&rsquo;re a senior Data Engineer who thrives on precision, systems thinking, and building reliable data foundations, this is a unique opportunity to contribute directly to how the next generation of AI systems reason about data infrastructure, pipelines, and analytics workflows. We&rsquo;re looking for experienced Data Engineers who understand modern data stacks, ETL/ELT architecture, orchestration, data modeling, warehouse design, quality validation, governance, and production-scale reliability.Your work will help strengthen how AI models reason through complex data engineering scenarios, identify technical errors, and communicate implementation guidance clearly.</div>
<div><h3 class="jobSectionHeader">Your Profile</h3>
<ul><li>4+ years of professional experience in data engineering, with significant hands-on work designing, building, and maintaining production-grade data pipelines.</li>
<li>Deep knowledge of SQL, data modeling, ETL/ELT architecture, orchestration frameworks, warehouse/lakehouse patterns, and modern data stack tools such as dbt, Airflow, Snowflake, BigQuery, Databricks, Fivetran, or similar platforms.</li>
<li>Strong understanding of distributed data systems, batch and streaming workflows, schema design, data validation, data observability, lineage, and pipeline reliability.</li>
<li>Proven experience optimizing complex SQL queries, troubleshooting data quality issues, designing scalable transformations, and supporting analytics or machine learning-ready datasets.</li>
<li>Demonstrated experience in translating ambiguous business or technical requirements into reliable data models, pipeline designs, and implementation plans.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, Statistics, Engineering, or a related technical field; equivalent professional experience will also be considered.</li>
<li>Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.</li>
</ul></div><div><h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Evaluate AI-generated answers to data engineering prompts for technical accuracy, completeness, clarity, and real-world feasibility.</li>
<li>Challenge advanced language models with complex Data Engineer scenarios involving SQL, Python, ETL/ELT design, orchestration, warehousing, data modeling, and pipeline reliability.</li>
<li>Review and refine AI-generated prompts, responses, rubrics, and reference answers to ensure they reflect senior-level data engineering judgment.</li>
<li>Provide structured feedback that identifies incorrect assumptions, missing constraints, weak reasoning, inefficient implementations, or unsafe recommendations.</li>
<li>Shape AI communication standards by helping models explain data architecture, debugging steps, tradeoffs, and implementation patterns clearly and responsibly.</li>
<li>Support benchmarking efforts by evaluating model performance across realistic data engineering workflows, edge cases, and failure modes.</li>
<li>Develop and review high-quality examples that demonstrate strong reasoning around pipeline design, data quality checks, data contracts, schema evolution, and system scalability.</li></ul></div></div>

Data Engineer – Remote

RedCloud Technologies

<div>Lead Data Engineer
About RedCloud
The global supply chain is broken&mdash;creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board.
RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain&mdash;enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment&mdash;facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.
Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We&rsquo;re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.
The role:
A Lead Data Engineer builds, maintains and supports our data warehouse, delivering data to the whole business in an easy, performant and readable format. They are the core engineers that empower the data behind our AI strategies and business decisions. They will work in a squad along side data scientists and AI engineers allowing for a whole picture on how the data is used. The ideal candidate will have Technical skills across SQL, Database Design (snowflake, PostgreSQL, MySQL) and Python.
What will you be doing:
Architect Data Warehouse
Own the architecture and flow of data into our data warehouse through collaboration with the squad, other squads and the wider business. Partner with the product manager to support and deliver a data warehouse that is performant, readable, easy to use and enables the business needs of other teams.
Design, Build and Maintain ELT Solutions
Design, build and maintain systems to consume data from other Internal RedCloud Systems and External Partners and/or Customers.
Deliver Data Insights
Work with colleagues through the business and directly with customers helping them to understand the data we have, build and refine models to help them deliver impact, carry out change or drive additional revenue through our customer base.
Resolve Bugs
Investigate and resolve bugs in our systems.
Handle production Outages / issues
Respond to production outages and issues in our systems.
Estimate Features / Bugs
Estimate features and bugs within estimation sessions alongside the team.
Refine feature requirements
Refine features delivered by product managers.
Carry out code reviews
Carry out code reviews / Pull-request reviews for other engineers, ensuring quality on code.
Keeping pace with Technology
As a senior member of the squad train and learn latest technologies adopted by RedCloud suggesting future libraries and patterns we should be looking at as a business.
Soft Skills
Mentor Members of the Team
Mentor all levels of engineers and new starters in the team, as their RedCloud buddy. Ensure they have all they need to succeed within your team.
Communication
Communicate effectively and clearly to those within your team and across the business.
Even if you feel you don&rsquo;t meet every requirement above, we still strongly encourage you to apply. Your unique experiences, qualities and perspectives might be just what we&rsquo;re looking for.
Benefits
Working with a pioneering trading, data and Intelligence company in the FMCG industry you will have the opportunity to join an international organisation tipped to grow fast - we encourage and reward ambition, creativity and the ability to thrive in this environment.
The successful candidate will get:<ul><li>25 Days Annual leave, increasing to 26 days after 12 months in the business</li><li>Enhanced Company Pension (Matched up to 5% &amp; Salary Sacrifice)</li><li>Healthcare Cashplan with Medicash</li><li>Private Healthcare with Aviva</li><li>Life Insurance with AIG</li><li>Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.</li><li>Stock / Equity (new scheme being established post IPO)</li></ul>
Check out the links below to see what our CEO Justin Floyd has to say about our plans for growth for the year ahead, and to see our latest video on the mission we&rsquo;re on!
https://youtu.be/8BmLoJ9U9vA
https://youtu.be/59PD4UoTgIE</div>

Lead Data Engineer

ALSTOM

<div>At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. 


Could you be the full-time Industrial Data Engineer in Bursa we&rsquo;re looking for? 
Your future role 


Take on a new challenge and apply your project and change management expertise in a cutting-edge field. You&rsquo;ll work alongside collaborative, innovative, and solution-oriented teammates.

You'll play a pivotal role in ensuring the seamless management of project Bill of Materials (PBOM) and change management processes. Day-to-day, you&rsquo;ll work closely with cross-functional teams across the business (such as engineering, production, and supply chain), support the implementation of industrial information systems, and provide training to ensure stakeholders are equipped to succeed.

You&rsquo;ll specifically take care of preparing and consolidating PBOM documents for ERP system uploads, but also managing data migration and ensuring consistency across systems. 


We&rsquo;ll look to you for:
<ul>
<li>Preparing and consolidating all project PBOM documents to ensure readiness for ERP system (IFS, SAP) upload
</li>
<li>Effectively managing the factory's change management processes and updating necessary documentation
</li>
<li>Supporting the implementation of industrial IS tools, acting as a key user for systems such as PLM (e.g., DMA, DELMIA) and ERP (e.g., SAP)
</li>
<li>Organizing and leading change management activities, ensuring the completeness, correctness, and clarity of change requests
</li>
<li>Ensuring accurate implementation of master data in systems, including M-BoM, P-BoM, routings, work centers, and tooling
</li>
<li>Conducting tests prior to system implementation or updates and managing data migration
</li>
<li>Providing training to users on new systems and updates
</li>
<li>Representing the Configuration and Change Management (CCM) function in project and program meetings
</li>
<li>Reporting on CCM performance indicators and managing actions for continuous improvement</li> 
</ul>
 
All about you

We value passion and attitude over experience. That&rsquo;s why we don&rsquo;t expect you to have every single skill. Instead, we&rsquo;ve listed some that we think will help you succeed and grow in this role:
<ul>
<li>Bachelor's degree in Industrial Engineering</li>
<li>
Minimum 3 years experience in project management, change management, and industrial engineering
</li>
<li>Knowledge of ERP systems (such as IFS,SAP) and PLM tools (like CATIA, DELMIA)
</li>
<li>Strong communication, organizational, and teamwork skills
</li>
<li>Proficiency in English (reading, writing, and speaking)
</li>
<li>A certification in project management or change management (preferred)
</li>
<li>Analytical and problem-solving skills
</li>
<li>Ability to adapt to a fast-paced, dynamic environment</li></ul> 
 
Things you&rsquo;ll enjoy Join us on a life-long transformative journey &ndash; the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You&rsquo;ll also:
<ul>
<li>Enjoy stability, challenges and a long-term career free from boring daily routines
</li>
<li>Work with new security standards for rail signalling
</li>
<li>Collaborate with transverse teams and helpful colleagues
</li>
<li>Contribute to innovative projects
</li>
<li>Utilise our flexible and inclusive working environment
</li>
<li>Steer your career in whatever direction you choose across functions and countries
</li>
<li>Benefit from our investment in your development, through award-winning learning
</li>
<li>Progress towards roles such as [CCM Manager or other leadership positions]
</li>
<li>Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage</li></ul> 


You don&rsquo;t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you&rsquo;ll be proud. If you&rsquo;re up for the challenge, we&rsquo;d love to hear from you! 

Important to note

As a global business, we&rsquo;re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We&rsquo;re committed to creating an inclusive workplace for everyone. 
 
Job Segment: Change Management, PLM, Supply Chain, Project Manager, ERP, Management, Operations, Technology</div>

Industrial Data Engineer

Keyrock

<div><h1 class="jobSectionHeader">Senior Data Engineer</h1><h1 class="jobSectionHeader">
About Keyrock</h1>
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
But we&rsquo;re more than a service provider. We&rsquo;re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.<h2 class="jobSectionHeader">
About the team and why the role exists</h2>
The Central Data Team (CDT) is only a few months old, but data has been Keyrock's lifeblood since day one. We're now building the Keyrock Data Platform to give Keyrockers, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few.
You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures.</li><li>
Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us.</li><li>
Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events.</li><li>
Design the lakehouse and time-series layer around consumer query patterns.</li><li>
Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing.</li><li>
Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management.</li><li>
Make observability, cost, and performance first-class from day one.</li><li>
Treat infrastructure as code (Docker, Terraform, CI/CD) alongside our Central Infrastructure Team.</li><li>
Work in the open: write things down, partner closely with Architecture, Infrastructure, Platform, and the rest of the teams.</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2>
Tools matter less to us than how you think about problems. That said, here's the shape of the person we have in mind.
Engineering Craft<ul><li>
8+ years of building production data systems that other people rely on.</li><li>
Strong proficiency in Python and SQL: not just being able to write a query, but being able to reason about what the engine is doing with it.</li><li>
Code that's easy for someone else to read, test, and delete later.</li><li>
Strong understanding of data modelling for both streaming and analytical workloads.</li><li>
Efficiency, quality, idempotency, and observability are taken seriously by default.</li></ul>
Systems Design<ul><li>
You've designed and operated streaming systems on Kafka, Redpanda, MSK, or Kinesis, and you have opinions about partitioning, consumer groups, offsets, and schema registries.</li><li>
You've used a time-series store in production (ClickHouse ideally; TimescaleDB, QuestDB, or similar are fine too) and can talk about table design as a function of query patterns.</li><li>
You've worked with a lakehouse architecture and reason about table layout, partitioning, and compaction as design choices that shape query performance and storage cost.</li><li>
You build for self-healing and idempotency. Reprocessing is safe, retries don't double-write, and the system recovers without a human in the loop.</li></ul>
Operational Readiness<ul><li>
Docker, Terraform, and CI/CD are how you work, not a separate &quot;DevOps&quot; thing.</li><li>
You think about cost and performance early.</li><li>
You instrument as you build: logs, metrics, and traces are part of the system from day one.</li><li>
You design for data quality and governance up front covering contracts, validation, lineage, and ownership</li></ul>
How You Think and Work<ul><li>
You reason from first principles when a problem is new, stay pragmatic when it isn't, and update your view when you learn more.</li><li>
You treat the trading desks, wealth and asset management, product, risk, finance, compliance, and research as customers of what you build, and communicate with them that way.</li><li>
You optimise for outcomes over output. A smaller, simpler thing that ships and works beats a bigger thing that doesn't.</li><li>
You take ownership end-to-end: design, ship, operate, improve.</li><li>
You say what you think including when it's an unpopular take. You change your mind when the argument is better.</li><li>
You make the people around you better. Reviews are real, juniors grow from working with you, and peers want to work with you again.</li><li>
You're curious about how markets work. Data engineering on its own won't keep you interested here.</li><li>
You're honest about what you know and what you don't, and quick to close the gap.</li><li>
You understand financial market data: order books, trades, reference data, portfolios, exposures. Crypto, TradFi, or both are a strong plus.</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Lakehouse experience with Apache Iceberg or Delta Lake.</li><li>
Familiarity with DataHub or similar metadata/lineage platforms.</li><li>
Rust. Some of our performance-critical services are written in it. Interest is welcome; fluency isn't required.</li></ul><h2 class="jobSectionHeader">
What You&rsquo;ll Get</h2><ul><li>
A from-scratch mandate. You'll be among the first hires in CDT, and the platform, the standards, and the team culture are yours to shape with us.</li><li>
Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves. You won't be building data in a vacuum.</li><li>
Autonomy on how you work. Flexible hours, remote-first, business-hours on-call shared across the team.</li><li>
A competitive salary package, with various benefits.</li><li>
A team that likes each other. Regular online get-togethers and a yearly onsite where everyone's in the same room.</li></ul><h2 class="jobSectionHeader">
Our Recruitment Process</h2>
We&rsquo;re after those with the right skills and a conscious choice to join our field. The perfect fit? Someone who&rsquo;s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Key</div>

Senior Data Engineer

World Business Lenders, LLC

<div>About World Business Lenders (www.wbl.com) 
 
World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.
Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.
We&rsquo;re looking for someone with strong communication skills in both English, both spoken and written.<ul><li>
Please note that all resumes should be submitted in English.</li></ul> 
We are seeking two Data Analysts, one specializing in data engineering &amp; migration, and another focused on data pipeline &amp; automation. Candidates with strengths in either area are encouraged to apply.
Key Responsibilities:<ul><li>
Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors.</li><li>
Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations.</li></ul> 

Requirements 
Required Education:
<ul><li>A Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field is preferred &mdash; but we also highly value equivalent hands-on experience!</li></ul> 
Required Experience:<ul><li>
4 to 7 years of experience as a Data Engineer.</li><li>
We value practical, hands-on expertise that goes beyond just theoretical knowledge.</li></ul>
Required Background / Industry Experience:
Required for both roles:<ul><li>
Experience working with cloud-based data platforms and environments</li><li>
Strong SQL skills with data modeling experience for data warehouses</li><li>
Strong Python skills (especially notebooks) for building and maintaining data workflows</li><li>
Experience developing and maintaining ETL/ELT processes</li><li>
Experience working with data warehouses used by reporting/business teams</li><li>
Experience using Git/GitHub for version control in collaborative environments</li><li>
Understanding of data engineering best practices:</li><li>
Pipeline orchestration and dependency management</li><li>
Data quality, validation, and monitoring fundamentals</li></ul>
Required for migration-focused role:<ul><li>
Hands-on data migration experience:</li><li>
Schema mapping and transformation</li><li>
Data reconciliation and validation (must be strong here)</li><li>
Data quality checks, integrity validation, and issue resolution</li><li>
Backfills and historical data handling</li><li>
Cutover planning and execution</li></ul>
Required for automation-focused role:<ul><li>
Experience building and maintaining automated data pipelines:</li><li>
Scheduling, orchestration, and failure handling</li><li>
Workflow reliability, monitoring, and repeatability</li></ul>
Preferred:<ul><li>
Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem</li><li>
Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines</li><li>
Experience with data quality and observability practices:</li><li>
Validation frameworks, alerting, SLAs, monitoring</li><li>
Experience optimizing performance in data environments:</li><li>
Query tuning, partitioning, indexing, cost optimization</li><li>
Familiarity with modern data formats and large-scale processing:</li><li>
Parquet, Delta, incremental processing patterns</li><li>
Experience integrating with external systems:</li><li>
REST APIs, authentication, retries, error handling</li><li>
Exposure to CI/CD practices for data workflows:</li><li>
Git-based deployments, PR workflows, environment promotion</li></ul> 
Key Soft Skills:<ul><li>
Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders.</li><li>
Ownership &amp; accountability: takes end-to-end responsibility for pipelines, data quality, and outcomes.</li><li>
Problem-solving mindset: able to debug complex data issues and work through ambiguity independently.
</li><li>Collaboration: works effectively across engineering, analytics, and business teams.</li><li>
Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools).</li></ul> 
Technical Skills:<ul><li>
Proficiency in SQL, Python, cloud technologies, and data competency.</li></ul> 

Benefits 
<ul><li>
USD Base Salary.</li><li>
Enjoy Paid Time Off (PTO) after just 6 months of service.</li><li>
Full-time opportunity.</li><li>
Enjoy the freedom of a completely remote work environment!</li></ul></div>

Remote - Data Engineering Analyst

Talan

<div>
 
 
 Talan &ndash; Positive Innovation
 
 
 
 Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of &euro;850M, we are committed to delivering impactful, future-ready solutions.
 
 
 
 Talan at a Glance
 
 
 
 Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we&rsquo;ve built a strong presence in the IT and consulting landscape, and we&rsquo;re on track to reach &euro;1 billion in revenue this year.
 
 
 
 Our Core Areas of Expertise
 
 
 
 
 <ul>
 <li>
 
 Data &amp; Technologies:
 
 We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
 
 
 
 </li>
 <li>
 
 
 Cloud &amp; Application Services:
 
 We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
 
 
 
 </li>
 <li>
 
 
 Management &amp; Innovation Consulting:
 
 We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.
 
 
 
 
 
 
 </li>
 </ul>
 
 We work with major global clients across diverse sectors, including Transport &amp; Logistics, Financial Services, Energy &amp; Utilities, Retail, and Media &amp; Telecommunications.
 
 
 
 
 Job Description
 
 
 
 
 As a
 
 Backend Spark developer
 
 , your mission will be to develop, test and deploy the technical and functional specifications from the Solution Designers / Business Architects / Business Analysts, guaranteeing the correct operability and the compliance with the internal quality levels.
 
 
 We need somebody like you to help us in different fronts:
 
 
 
 <ul>
 <li>
 You will develop end-to-end ETL processes with Spark/Scala. This includes transferring data from/to the data lake, technical validations, business logic, etc.
 </li>
 <li>
 You will use Scrum methodology, and be part of a high performance team
 </li>
 <li>
 You will document your solutions in the tools: JIRA, Confluence, ALM
 </li>
 <li>
 You will certify your delivery and its integration with other components, designing and performing the relevant test to ensure the quality of your team delivery
 </li>
 <li>
 You will work side by side with a technical specialist who will help you to improve the architecture and technical implementation of the solution in place
 </li>
 <li>
 You will collaborate with cross-functional and cross-country teams to integrate data from various sources
 </li>
 <li>
 You will develop and maintain data hub and data pipelines in microservices architecture
 </li>
 <li>
 You will collaborate with other developers to maintain and improve CI/CD pipelines
 
 
 
 </li>
 </ul>
 
 
 
 WHAT WE ARE LOOKING FOR
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science or a related field.
 </li>
 <li>
 1+ years of experience in data/software engineering (preferable in banking)
 </li>
 <li>
 Experience with Integration Solutions (using API and Microservices)
 </li>
 <li>
 Programming backend applications with BigData technologies(
 
 Apache Spark
 
 )
 </li>
 <li>
 Agile approach for software development
 </li>
 <li>
 Continuous Integration (Git, GitHub)
 </li>
 <li>
 Knowledge of SQL databases
 </li>
 <li>
 English (at least B2+)
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Preferred qualifications
 
 
 
 
 <ul>
 <li>
 Git hub actions
 </li>
 <li>
 Scala or Python
 </li>
 <li>
 Bash scripting
 </li>
 <li>
 ControlM, AirFlow
 </li>
 <li>
 Software development life cycle (HP ALM,..)
 </li>
 <li>
 Basics of cybersecurity &amp; Quality (sonar&hellip;)
 </li>
 <li>
 Basics of Cloud computing (Docker, Kubernetes, S3, Azure, AWS, EMR, DataBricks)
 </li>
 <li>
 SOA Architecture
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What do we offer you?
 
 
 
 
 <ul>
 <li>
 Full-time contract.
 </li>
 <li>
 Smart Office Pack so that you can work comfortably from home.
 </li>
 <li>
 Training and career development.
 </li>
 <li>
 Benefits and perks such as
 
 private medical insurance
 
 , life insurance.
 </li>
 <li>
 Possibility to be part of a multicultural team and work on international projects.
 </li>
 <li>
 
 This is a hybrid position based in Warsaw, Poland. Relocation is mandatory.
 
 </li>
 <li>
 Possibility to manage work-permits.
 
 
 
 </li>
 </ul>
 
 If you are passionate about development &amp; tech, we want to meet you!
 
 
 
 
 
 Talan Spain&rsquo;s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company&rsquo;s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).
 
 
 
</div>

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