Lead Data Engineer @

3 tygodni temu

Kraków, Lesser Poland HSBC Technology Poland Pełny etat
Your career opportunity

The Lead Cybersecurity Data Engineer role will work closely with Principal engineers within the Platform & Data Engineering Team, contributing to and coordinating data engineering, data acquisition, cloud infrastructure and platform engineering, platform operations, and production support activities using ground-breaking cloud and big data technologies. For this role, cybersecurity-specific knowledge is preferred but not essential.

The position is a mid-senior technical, hands-on delivery role, requiring knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support.

If your CV meets our criteria, you should expect the following steps in the recruitment process:

- Online behavioural
- Telephone screen
- Job interview with the hiring manager

What you need to have to succeed in this role

- Demonstrable experience of Linux administration and scripting (preferably Red Hat Systems)
- Experience with Python, Spark, SQL, Databricks, Azure Function App, Azure DevOps and Terraform.
- Understanding of hardware and software principles and storage technologies (SSD, HDD, NVMe), CPU architectures, and Memory & Operating system principles (especially network stack fundamentals)
- Understanding of network protocols and network design
- Designing, building, and maintaining data pipelines and ETL workflows across disparate datasets
- Experience in applying data engineering methods to the cyber security domain
- Bachelor's degree in any Science, Technology, Engineering field accompanied with data, technology and/or programming experience also considered.
- Proficiency in programming languages such as Python, Java, C#, or similar preferred.
- Experience with server, operating system, and infrastructure technologies such as Nginx/Apache, CosmosDB, Linux, Bash, PowerShell, Prometheus, Grafana, Elasticsearch)
- Experience operating in highly regulated industry, e.g., Financial Services advantageous

Your career opportunity

The Lead Cybersecurity Data Engineer role will work closely with Principal engineers within the Platform & Data Engineering Team, contributing to and coordinating data engineering, data acquisition, cloud infrastructure and platform engineering, platform operations, and production support activities using ground-breaking cloud and big data technologies. For this role, cybersecurity-specific knowledge is preferred but not essential.

The position is a mid-senior technical, hands-on delivery role, requiring knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support.

If your CV meets our criteria, you should expect the following steps in the recruitment process:

- Online behavioural
- Telephone screen
- Job interview with the hiring manager

,[Ingestion and provisioning of raw datasets, enriched tables, and/or curated, re-usable data assets to enable Cybersecurity use cases., Driving improvements in the reliability and frequency of data ingestion including increasing real-time coverage., Identifying and onboarding data sources using existing schemas and, where required, conducting exploratory data analysis to investigate and determine new schemas., Extract Translate and Load (ETL) workflows, using both advanced data manipulation tools and programmatically manipulating data throughout our data flows, ensuring data is available at each stage in the data flow, and in the form needed for each system, service, and customer along said data flow., Designing and implementing data pipelines that will collect data from disparate sources across the enterprise, and from external sources, transport said data, and deliver it to our data platform.] Requirements: Linux, Python, Spark, SQL, Databricks, Azure Function App, Azure DevOps, Terraform, Storage, Network protocols, ETL, Data pipelines, Data engineering, Security, Degree, Red Hat, Java, C#, Nginx, Cosmos DB, Bash, PowerShell, Prometheus, Grafana, Elasticsearch Additionally: Training budget, Private healthcare, Flat structure, International projects, Multisport card, Monthly remote work subsidy, Psychological support, Conferences, PPK option, Annual performance based bonus, Integration budget, International environment, Small teams, Employee referral bonus, Mentoring, Workstation reimbursement, Company share purchase plan, Childcare support programme, Bike parking, Playroom, Shower, Canteen, Free coffee, Free beverages, Free parking, In-house trainings, In-house hack days, No dress code, Modern office, Knowledge sharing, Garden, Massage chairs, Kitchen.

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