Technical consultant

About TVARIT

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc. With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe. We are seeking a self-motivated individual with a positive "can-do" attitude and excellent oral and written communication skills in English to join our team.

Job Description: We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing.

Key Responsibilities · Build scalable real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark.

· Perform data pre-processing, including cleaning, transformation, deduplication, normalization, encoding, and scaling to ensure high-quality input for downstream analytics.

· Design and maintain cloud-based data architectures, including data lakes, lakehouses, and warehouses, following Medallion Architecture.

· Deploy and optimize data solutions on Azure (preferred), AWS, or GCP with a focus on performance, security, and scalability.

· Develop and optimize ETL/ELT pipelines for structured and unstructured data from IoT, MES, SCADA, LIMS, and ERP systems. · Automate data workflows using CI/CD and DevOps best practices, ensuring security and compliance with industry standards

· Monitor, troubleshoot, and enhance data pipelines for high availability and reliability.

· Utilize Docker and Kubernetes for scalable data processing.

· Collaborate with automation team, data scientists and engineers to provide clean, structured data for AI/ML models.

Desired Skills and Qualifications · Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

· 7+ years of experience in core data engineering, with a strong focus on cloud platforms such as Azure (preferred), AWS, or GCP · Proficiency in PySpark, Azure Databricks, Python and Apache Spark, etc.

. 2 years of team handling experience.

· Expertise in relational databases (e.g., SQL Server, PostgreSQL), time series databases (e.g. Influx DB), and NoSQL databases (e.g., MongoDB, Cassandra) · Experience in containerization (Docker, Kubernetes).

· Strong analytical and problem-solving skills with attention to detail.

· Good to have MLOps, DevOps including model lifecycle management

· Excellent communication and collaboration skills, with a proven ability to work effectively as a team player.

· Comfortable working in a dynamic, fast-paced startup environment, adapting quickly to changing priorities and responsibilities.

Role overview

• Overall 5 to 7 years of experience. Node.js experience is must.
• At least 3+ years of experience or couple of large-scale products delivered on microservices.
• Strong design skills on microservices and AWS platform infrastructure.
• Excellent programming skill in Python, Node.js and Java.
• Hands on development in rest API’s.
• Good understanding of nuances of distributed systems, scalability, and availability.

What would you do here

• To Work as a Backend Developer in developing Cloud Web Applications
• To be part of the team working on various types of web applications related to Mortgage Finance.
• Experience in solving a real-world problem of Implementing, Designing and helping develop a new Enterprise-class Product from ground-up.
• You have expertise in the AWS Cloud Infrastructure and Micro-services architecture around the AWS Service stack like Lambdas, SQS, SNS, MySQL Databases along with Dockers and containerized solutions/applications.
• Experienced in Relational and No-SQL databases and scalable design.
• Experience in solving challenging problems by developing elegant, maintainable code.
• Delivered rapid iterations of software based on user feedback and metrics.
• Help the team make key decisions on our product and technology direction.
• You actively contribute to the adoption of frameworks, standards, and new technologies.

RESPONSIBILITIES SKILLS REQUIRED Build automated pipelines from TikTok Seller Center — live dashboards, no manual exports. Script and configure API-based automation flows (Make, Zapier, Python) from scratch. Use Claude AI daily to accelerate analysis, write code, and generate report narratives. Own the Growth team's full reporting cadence — weekly, monthly, ad-hoc. Support TikTok Shop daily operations: monitor KPIs, flag anomalies, coordinate data needs. Present insights and strategy to C-level stakeholders — concise, visual, confident. Excel / Sheets — Power Query, macros, dynamic dashboards Scripting — Python, JS, or Apps Script (write & debug code) Automation — Make / Zapier / API integrations BI Tools — Looker Studio, Power BI, or Tableau Claude AI — required, daily co-pilot (non-negotiable) E-commerce fluency — CAC, LTV, ROAS, funnel metrics Advanced English — C1/C2, written & spoken Proactive ownership — no hand-holding required

Job description

• Greet and welcome visitors, clients, and stakeholders professionally.
• Manage the front desk, including answering and redirecting calls.
• Schedule appointments and maintain the meeting calendar.
• Handle client inquiries in person and via phone or email.
• Coordinate with internal teams to provide necessary information to clients.
• Maintain a neat and organized reception area.
• Perform administrative duties such as data entry, filing, and document management.

1. Vendor Outreach: Initiate outbound calls to vendors, introducing the e-commerce platform, and establishing or maintaining relationships.
2. Order Confirmation: Communicate with vendors to confirm orders, ensuring accurate product details, quantities, and delivery timelines.
3. Issue Resolution: Address and resolve any issues related to orders, payments, or product discrepancies by liaising between vendors and internal teams.
4. Feedback Collection: Gather feedback from vendors regarding their experiences with the e-commerce platform, identifying areas for improvement.
5. Contractual Agreements: Communicate and ensure vendors adhere to contractual agreements, including pricing, terms, and conditions.
6. Inventory Management: Coordinate with vendors to manage and update inventory information, ensuring product availability and accuracy on the platform.
7. New Vendor Onboarding: Assist in the onboarding process for new vendors, providing necessary information and documentation requirements.
8. Payment Follow-Up: Follow up on payment-related issues, ensuring timely and accurate processing of vendor payments.
9. Performance Tracking: Monitor vendor performance metrics, identifying trends and areas for improvement, and providing feedback to vendors.
10. Market Intelligence: Gather information on industry trends, competitor activities, and market conditions to provide insights for vendor management strategy.

Requirements:

1. Communication Skills: Excellent verbal communication skills, with the ability to convey information clearly and professionally.
2. Relationship Building: Strong interpersonal skills to build and maintain positive relationships with vendors.
3. Problem-Solving: Ability to identify and solve problems efficiently, especially in the context of order discrepancies or vendor-related issues.
4. Detail-Oriented: Attention to detail is crucial, particularly when confirming orders, managing inventory, and reviewing contractual agreements.
5. Negotiation Skills: Basic negotiation skills to ensure mutually beneficial terms with vendors.
6. Time Management: Efficiently manage time to handle multiple vendor interactions and tasks simultaneously.
7. Tech-Savvy: Comfortable using e-commerce platforms, CRM systems, and other tools relevant to vendor management.

• Python. Django Rest Framework experience would be great, but not essential! We prioritise
• quality over quantity.
• Postgres with InfluxDB, Oracle, MySQL and Redis experience a plus.
• Docker, Kubernetes, Helm, OpenShift and associated tooling.
• AWS, especially ECS, Lambda, RDS and DynamoDB. Performance and uptime are super
• important to us.
• The challenge of scaling a global, distributed API to 10,000+ requests per second.
• We have SDKs in a bunch of languages, so the more polyglot you are the better.
• If you like writing JS and React that would be awesome too.