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Data Engineer
Company name: Seargin Sp. z o.o.
Company size: 500+ people
Job Specification
  • Remote
  • Anywhere

Website Seargin_ Seargin Sp. z o.o.


Seargin is looking for a Data Engineer

  • Position: Data Engineer
  • Technologies: Data Engineering, Python, R, Spark SQL, Scala, Elastic Stack, Hadoop clusters, AWS
  • Localization: remotely
  • Area: Project
  • Form of employment: B2B
  • Experience Level: Mid/Senior

Main tasks for the Data Engineer will be:
  • Creating and modifying reliable data flows for analytical and reporting purposes based on hybrid environment of AWS and own infrastructure
  • Leading Data Engineering projects or tracks and participating in large data centred projects requiring in-depth knowledge of e.g., data cleaning, data modelling, data engineering and data governance
  • Selecting, validating and productionizing machine learning models, including live trials for automatization purposes
  • Coaching team members
  • Setting up essential technology stacks and setting up new data flows for analysis
  • Identifying and solving problems of a complex nature through advanced analytical methods
  • Leading proofs-of-concepts and then effectively transition and scaling those concepts into production at scale through, engineering, deployment and commercialization
  • Assisting to progress within overall defined deliverables of a projects
  • Appling statistics, modelling, and machine learning to improve the efficiency of systems and relevance algorithms across our network suite

The Candidate should have:
  • Data engineer degree or similar
  • High level of motivation with an independent approach and high virtual affinity with problem solving
  • Data Engineering and system development experience
  • Statistics and experimental design knowledge
  • Development of complex solutions using Python, R, Spark SQL, Scala skills
  • Designing and implementing data warehouse and data lakes with Snowflake and AWS, pipelines with RabbitMQ, Kafka skills
  • Elastic Stack, Hadoop clusters, AWS and similar set up and use skills
  • Prometheus, Grafana or Kibana and similar monitoring skills set up and use skills
  • Working experience in Distributed Processing like Spark (PySpark), Hadoop, Airflow, etc.
  • Visualization skills in the systems like Zabbix, Grafana, Kibana
  • Data Network Operations or monitoring of telco networks experience
  • AWS environment (S3, Athena, Glue, IAM, EC2, VPC, networking, Redshift) experience
  • Structured, semi-structured, unstructured, and streaming data – PG, SQL, Redis, MongoDB, AWS DynamoDB ability to deal with
  • Setting up log collection using NetFlow, Logstash, and TICK stack experience
  • Good understanding of Python PKGs (Pandas, NumPy, SQL Alchemy, Jupyter Notebooks, TensorFlow)
  • Experience in Linux and similar software
  • Setting up full-stack environments experience
  • Layer 1 to 3 telecom networks knowledge
  • Knowledge about procedures of monitoring/logging, primarily through NetFlow, SNMP, Telemetry, CLI and BGP-LS
  • Container technologies interest
  • Good understanding of modern IT security like HashiCorp: Vault/Consul
  • Ability to work independently when needed but care about the team
  • Very good knowledge of big data solution capabilities and drawbacks
  • Strong interest in the business and how modern IT solutions will enable the business to excel
  • Open for collaboration and sharing knowledge with colleagues attitude
  • A passion to explore and learn more
  • Eager to build relationships and convey complex information to a technical and nontechnical audience
  • Team-oriented, detail-oriented, efficient and solution-oriented attitude
  • Superb analytical and problem solving skills
  • Excellent communication and interpersonal skills
  • Flexibility and ability to work independently and in a team
  • Great English skills (written and spoken)

The Candidate can expect:
  • B2B Contract
  • Challenging job in an international and multilingual environment
  • Professional development
  • Attractive and competitive compensation

If you meet requirements described above, please send your application in English (.doc) at, stating the name of the position in a subject and/or call +(48) 728 432 948.

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    Your personal data is processed by Seargin Sp. z o.o. Data protection inspector can be reached via email address
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    Company size: 500+
    Seargin Sp. z o.o.
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